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] | assistants-api | null | null | null | https://community.openai.com/t/530158 | https://community.openai.com/p/793557 | Modeling | API (2) |
530,158 | [
"assistants-api"
] | Assistants with both "retrieval" and "function" | "2023-11-27T20:15:23.436000Z" | 7 | 4,472 | 10 | 17 | 16 | 2,041 | 793,616 | 2024-01-12T16:42:07.835Z | <p>I’ve been experimenting with the OpenAI Assistants API, specifically with retrieval, code_interpreter, and function_calling. I’ve shared my projects on my blog, and I’ve discovered some strategies that have helped me optimize the API’s performance:</p>
<p>My projects are shared here ( hope it’s helpful) : <a href="https://arunprakash.ai" rel="noopener nofollow ugc">https://arunprakash.ai</a></p>
<ol>
<li>
<p><strong>Reduce message counts in the thread</strong>: High message counts can overload the model with tokens, potentially causing it to miss important information. Consider summarizing or truncating older messages to manage the context size.</p>
</li>
<li>
<p><strong>Utilize multiple assistants</strong>: Depending on your use case, you might benefit from using multiple assistants in the same thread. This can allow for specialized responses based on the context of the conversation.</p>
</li>
<li>
<p><strong>Leverage the <code>additional_instructions</code> parameter</strong>: This parameter can be used to append instructions to the existing ones in a thread, rather than replacing them. This can be particularly useful for dynamic instructions.</p>
</li>
<li>
<p><strong>Incorporate files in the messages</strong>: If your use case allows, adding files to the messages can enhance the assistant’s understanding and response accuracy.</p>
</li>
<li>
<p><strong>Invest time in crafting instructions</strong>: The quality of the instructions and additional instructions can significantly impact the performance of the assistant. It’s worth investing time in crafting clear, precise instructions.</p>
</li>
</ol>
<p>Happy coding!</p> | 61 | 1 | aebb27e061 | 20 | null | null | I’ve been experimenting with the OpenAI Assistants API, specifically with retrieval, code\_interpreter, and function\_calling. I’ve shared my projects on my blog, and I’ve discovered some strategies that have helped me optimize the API’s performance:
My projects are shared here ( hope it’s helpful) : <https://arunprakash.ai>
1. **Reduce message counts in the thread**: High message counts can overload the model with tokens, potentially causing it to miss important information. Consider summarizing or truncating older messages to manage the context size.
2. **Utilize multiple assistants**: Depending on your use case, you might benefit from using multiple assistants in the same thread. This can allow for specialized responses based on the context of the conversation.
3. **Leverage the `additional_instructions` parameter**: This parameter can be used to append instructions to the existing ones in a thread, rather than replacing them. This can be particularly useful for dynamic instructions.
4. **Incorporate files in the messages**: If your use case allows, adding files to the messages can enhance the assistant’s understanding and response accuracy.
5. **Invest time in crafting instructions**: The quality of the instructions and additional instructions can significantly impact the performance of the assistant. It’s worth investing time in crafting clear, precise instructions.
Happy coding!
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] | assistants-api | null | null | null | https://community.openai.com/t/530158 | https://community.openai.com/p/793616 | Assistants, API, Platform | Embeddings (6) |
656,727 | [
"gpt-4",
"api"
] | How to design few shot prompt with API | "2024-02-27T09:28:25.676000Z" | 7 | 56 | 1 | 1 | 2 | 527 | 896,303 | 2024-02-27T09:28:25.757Z | <p>Hello everyone,<br>
I am currently struggling with designing few-shot prompt using the chat completion API. I’ve tired searching for information everywhere I could, including the OpenAI developer forum, the OpenAI cookbook, and the OpenAI help center. Unfortunately, it seems like clear instructions or tutorails are scarce.</p>
<p>The only resource somewhat worth referring to is the few-shot prompting example from this tutorial <em>how_to_format_inputs_to_chatgpt_models</em><br>
Following this example, I constructed my own prompt as below:</p>
<p>{<br>
‘model’: ‘gpt-3.5-turbo-0125’,<br>
‘messages’: [<br>
{<br>
‘role’: ‘system’,<br>
‘name’: ‘example_user’,<br>
‘content’: ‘Google Maps and other highway and street GPS services have replaced what? Answer Choices: A. united states, B. mexico, C. countryside, D. atlas. The answer is D. Because’<br>
},<br>
{’<br>
role’: ‘system’,<br>
‘name’: ‘example_assistant’,<br>
‘content’: ‘the answer must be something that used to do what Google Maps and GPS services do, which is to give directions. Of the above choices, only atlases are used to give directions.’<br>
},<br>
{’<br>
role’: ‘system’,<br>
‘name’: ‘example_user’,<br>
‘content’: ‘The man laid on the soft moss and looked up at the trees, where was the man? Answer Choices: A. niagra falls, B. forest, C. waterfall, D. ground, E. tree. The answer is B. Because’<br>
},<br>
{<br>
‘role’: ‘system’,<br>
‘name’: ‘example_assistant’,<br>
‘content’: ‘the answer must be a place where the man is laying down and looking up at trees. Of the above choices, only forest is a place where people lay down and look at trees.’<br>
},<br>
{<br>
‘role’: ‘user’,<br>
‘content’: ‘If you’re speaking to a lawyer about getting a divorce, what relationship status are you trying to end? Answer Choices: A. being married, B. sisters, C. marriage, D. two people, E. lawyer. The answer is A. Because’<br>
}<br>
],<br>
‘max_tokens’: 300,<br>
‘n’: 4,<br>
‘temperature’: 0.7<br>
}</p>
<p>Brefliy speaking, what I am seeking is for the model to return just an explanatin similar to what I provided in the few-shot examples. The output should follow the template in the answer, specifically continuing with “Because” in the content and providing “<em>some reasonable explanation</em>”.</p>
<p>However, the answer will be like <em>“The correct answer is A. "being married" is the relationship status that someone is trying to end when speaking to a lawyer about getting a divorce.”</em></p>
<p>Have I missed something? Any feedback would be greatly appreciated.</p> | 15 | 0 | a008fa6757 | 1 | [
455716,
171433,
325614,
443276,
365749
] | 2 | Hello everyone,
I am currently struggling with designing few-shot prompt using the chat completion API. I’ve tired searching for information everywhere I could, including the OpenAI developer forum, the OpenAI cookbook, and the OpenAI help center. Unfortunately, it seems like clear instructions or tutorails are scarce.
The only resource somewhat worth referring to is the few-shot prompting example from this tutorial *how\_to\_format\_inputs\_to\_chatgpt\_models*
Following this example, I constructed my own prompt as below:
{
‘model’: ‘gpt-3.5-turbo-0125’,
‘messages’: [
{
‘role’: ‘system’,
‘name’: ‘example\_user’,
‘content’: ‘Google Maps and other highway and street GPS services have replaced what? Answer Choices: A. united states, B. mexico, C. countryside, D. atlas. The answer is D. Because’
},
{’
role’: ‘system’,
‘name’: ‘example\_assistant’,
‘content’: ‘the answer must be something that used to do what Google Maps and GPS services do, which is to give directions. Of the above choices, only atlases are used to give directions.’
},
{’
role’: ‘system’,
‘name’: ‘example\_user’,
‘content’: ‘The man laid on the soft moss and looked up at the trees, where was the man? Answer Choices: A. niagra falls, B. forest, C. waterfall, D. ground, E. tree. The answer is B. Because’
},
{
‘role’: ‘system’,
‘name’: ‘example\_assistant’,
‘content’: ‘the answer must be a place where the man is laying down and looking up at trees. Of the above choices, only forest is a place where people lay down and look at trees.’
},
{
‘role’: ‘user’,
‘content’: ‘If you’re speaking to a lawyer about getting a divorce, what relationship status are you trying to end? Answer Choices: A. being married, B. sisters, C. marriage, D. two people, E. lawyer. The answer is A. Because’
}
],
‘max\_tokens’: 300,
‘n’: 4,
‘temperature’: 0.7
}
Brefliy speaking, what I am seeking is for the model to return just an explanatin similar to what I provided in the few-shot examples. The output should follow the template in the answer, specifically continuing with “Because” in the content and providing “*some reasonable explanation*”.
However, the answer will be like *“The correct answer is A. "being married" is the relationship status that someone is trying to end when speaking to a lawyer about getting a divorce.”*
Have I missed something? Any feedback would be greatly appreciated.
| api | negative | 0.583476 | [
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] | gpt-4 | api | null | null | https://community.openai.com/t/656727 | https://community.openai.com/p/896303 | AI Assistants | Embeddings (6) |
656,727 | [
"gpt-4",
"api"
] | How to design few shot prompt with API | "2024-02-27T09:28:25.676000Z" | 7 | 56 | 1 | 1 | 2 | 527 | 896,320 | 2024-02-27T09:38:12.461Z | <p>You can achieve few shot prompting by providing examples directly in the system message. There you add the examples you want the model to refer to when answering the user message.</p>
<p>So, you are still sending only one system message and one user message with the question. But the system message contains additional examples. There is no need to add additional system or user messages with replies.</p>
<p>System:</p>
<blockquote>
<p>"You answer questions about Ice cream. Answer with ‘Yes’ or ‘No’ only.<br>
When answering user questions follow these examples:<br>
Question: Is ice cream cold?<br>
Answer: Yes.</p>
<p>Question: Does Ice cream make children happy?<br>
Answer: Yes</p>
<p>Question: Can I fix my car’s overheating problem with ice cream?<br>
Answer: No.</p>
</blockquote>
<p>And then you have the User message which will be answered according to your examples (few-shots).</p>
<blockquote>
<p>Can you write a 500 word paragraph about the advantages of eating ice cream?</p>
</blockquote>
<p>Answer:</p>
<blockquote>
<p>Yes</p>
</blockquote> | 12 | 1 | 9d201ff333 | 2 | [
455716,
171433,
325614,
443276,
365749
] | 2 | You can achieve few shot prompting by providing examples directly in the system message. There you add the examples you want the model to refer to when answering the user message.
So, you are still sending only one system message and one user message with the question. But the system message contains additional examples. There is no need to add additional system or user messages with replies.
System:
>
> "You answer questions about Ice cream. Answer with ‘Yes’ or ‘No’ only.
>
> When answering user questions follow these examples:
>
> Question: Is ice cream cold?
>
> Answer: Yes.
>
>
> Question: Does Ice cream make children happy?
>
> Answer: Yes
>
>
> Question: Can I fix my car’s overheating problem with ice cream?
>
> Answer: No.
>
>
>
And then you have the User message which will be answered according to your examples (few-shots).
>
> Can you write a 500 word paragraph about the advantages of eating ice cream?
>
>
>
Answer:
>
> Yes
>
>
>
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] | gpt-4 | api | null | null | https://community.openai.com/t/656727 | https://community.openai.com/p/896320 | Prompts | Artificial Intelligence |
656,727 | [
"gpt-4",
"api"
] | How to design few shot prompt with API | "2024-02-27T09:28:25.676000Z" | 7 | 56 | 1 | 1 | 2 | 527 | 896,651 | 2024-02-27T12:29:48.397Z | <p>Thank you so much! It solved my problem perfectly <img src="https://emoji.discourse-cdn.com/twitter/smile.png?v=12" title=":smile:" class="emoji" alt=":smile:" loading="lazy" width="20" height="20"></p> | 1 | 0 | a008fa6757 | 3 | [
455716,
171433,
325614,
443276,
365749
] | 2 | Thank you so much! It solved my problem perfectly 
| api | positive | 0.981322 | [
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] | gpt-4 | api | null | null | https://community.openai.com/t/656727 | https://community.openai.com/p/896651 | Emoji (7) | Emoji (8) |
161,891 | [] | Request: Query for a models max tokens | "2023-04-16T06:22:15.756000Z" | 7 | 1,773 | 2 | 7 | 4 | 761 | 236,335 | 2023-04-16T06:22:15.823Z | <p>When working with the OpenAPI models endpoint it would be quite nice to be able to directly query the models max number of tokens.</p>
<p>This is useful to avoid hard coding in the model(s) max token vals to compare against my own tokenized version of a users input prior to submission. This is to avoid users submitting prompts to OpenAI that exceed the model length.</p>
<p>Edit -<br>
I just queried ‘gpt-3.5-turbo’ with a length of 5975 tokens. This was done to produce an error of some sort stating that I have exceeded the limit of 4096 tokens per the documentation. Instead the error stated that I was awarded an additional token since the max model token length is 4097 apparently. Thank you OpenAI <img src="https://emoji.discourse-cdn.com/twitter/smiley.png?v=12" title=":smiley:" class="emoji" alt=":smiley:" loading="lazy" width="20" height="20"></p>
<pre><code class="lang-auto">message: "This model's maximum context length is 4097 tokens. However, your messages resulted in 5975 tokens. Please reduce the length of the messages."
</code></pre> | 55 | 0 | d8a2eb6479 | 1 | [
264416,
271262,
524066,
137151,
143549
] | null | When working with the OpenAPI models endpoint it would be quite nice to be able to directly query the models max number of tokens.
This is useful to avoid hard coding in the model(s) max token vals to compare against my own tokenized version of a users input prior to submission. This is to avoid users submitting prompts to OpenAI that exceed the model length.
Edit -
I just queried ‘gpt-3.5-turbo’ with a length of 5975 tokens. This was done to produce an error of some sort stating that I have exceeded the limit of 4096 tokens per the documentation. Instead the error stated that I was awarded an additional token since the max model token length is 4097 apparently. Thank you OpenAI 
```
message: "This model's maximum context length is 4097 tokens. However, your messages resulted in 5975 tokens. Please reduce the length of the messages."
```
| api | positive | 0.559856 | [
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] | null | null | null | null | https://community.openai.com/t/161891 | https://community.openai.com/p/236335 | Booking | Tokenization (2) |
161,891 | [] | Request: Query for a models max tokens | "2023-04-16T06:22:15.756000Z" | 7 | 1,773 | 2 | 7 | 4 | 761 | 236,524 | 2023-04-16T08:27:40.654Z | <p>Maybe. But the token length is fixed for each model. So if you know the model you are using you know the number of tokens it has. So hard coding the model size causes no real software offense.</p> | 52 | 1 | 3194c793bf | 2 | [
264416,
271262,
524066,
137151,
143549
] | null | Maybe. But the token length is fixed for each model. So if you know the model you are using you know the number of tokens it has. So hard coding the model size causes no real software offense.
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] | null | null | null | null | https://community.openai.com/t/161891 | https://community.openai.com/p/236524 | Valorant | Tokenization (2) |
161,891 | [] | Request: Query for a models max tokens | "2023-04-16T06:22:15.756000Z" | 7 | 1,773 | 2 | 7 | 4 | 761 | 236,544 | 2023-04-16T08:47:27.836Z | <p>There is no offence; but there are nuisances with just going with ‘hard coding’ based approach.</p>
<ol>
<li>
<p>It would be nice to be able to just query an endpoint after selecting a model from the /models to be able to know ahead of time what the input limits to that model are so that before sending off queries using bandwidth. The application can tokenize the users input to determine the number of tokens consumed leading to an overall reduction in bandwidth.</p>
</li>
<li>
<p>Dynamic model selections. Lets say a user inputs text that has a token count that is larger than the default model, but you know other models support the same feature with longer token lengths. Your application could select another compatible model on the fly from the list of available models even if that model isn’t in your hard coded list.</p>
</li>
<li>
<p>You already can just make a bogus query to an endpoint to get the limit, just send a number of tokens that would overflow the largest model and the error message will state the number of tokens that model can input.</p>
</li>
</ol>
<p>Edit-</p>
<p>Going even deeper models such as text-davinci-edit-001 do not have their token limit stated anywhere though it could be assumed to be the same as davinci-3</p> | 49 | 1 | d8a2eb6479 | 3 | [
264416,
271262,
524066,
137151,
143549
] | null | There is no offence; but there are nuisances with just going with ‘hard coding’ based approach.
1. It would be nice to be able to just query an endpoint after selecting a model from the /models to be able to know ahead of time what the input limits to that model are so that before sending off queries using bandwidth. The application can tokenize the users input to determine the number of tokens consumed leading to an overall reduction in bandwidth.
2. Dynamic model selections. Lets say a user inputs text that has a token count that is larger than the default model, but you know other models support the same feature with longer token lengths. Your application could select another compatible model on the fly from the list of available models even if that model isn’t in your hard coded list.
3. You already can just make a bogus query to an endpoint to get the limit, just send a number of tokens that would overflow the largest model and the error message will state the number of tokens that model can input.
Edit-
Going even deeper models such as text-davinci-edit-001 do not have their token limit stated anywhere though it could be assumed to be the same as davinci-3
| api | neutral | 0.781792 | [
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] | null | null | null | null | https://community.openai.com/t/161891 | https://community.openai.com/p/236544 | Booking | Tokenization (2) |
161,891 | [] | Request: Query for a models max tokens | "2023-04-16T06:22:15.756000Z" | 7 | 1,773 | 2 | 7 | 4 | 761 | 237,556 | 2023-04-16T20:26:12.740Z | <p>If the tokens are fixed per modal I think all three of your scenarios are still satisfied by knowing their token length.</p>
<p>If you come across a modal that you are not familiar with and don’t know its length, then according to your 2nd scenario you have bigger problems like what features it has. Which, as you say, you would otherwise “know”.</p>
<p>We code against fixed APIs and query for variability. Consider the token length part of the fixed API which I think it is all intense and purposes it is.</p>
<p>Finally, I have been watching feature suggestions come and go in this forum. Very few if any are responded to by anyone with the influence to address them. And I can’t say that any have resulted in an actual change. So you may also consider the pragmatism of what I suggest.</p>
<p>I hope this helps <img src="https://emoji.discourse-cdn.com/twitter/four_leaf_clover.png?v=12" title=":four_leaf_clover:" class="emoji" alt=":four_leaf_clover:" loading="lazy" width="20" height="20"><img src="https://emoji.discourse-cdn.com/twitter/+1/3.png?v=12" title=":+1:t3:" class="emoji" alt=":+1:t3:" loading="lazy" width="20" height="20"></p> | 43 | 0 | 3194c793bf | 4 | [
264416,
271262,
524066,
137151,
143549
] | null | If the tokens are fixed per modal I think all three of your scenarios are still satisfied by knowing their token length.
If you come across a modal that you are not familiar with and don’t know its length, then according to your 2nd scenario you have bigger problems like what features it has. Which, as you say, you would otherwise “know”.
We code against fixed APIs and query for variability. Consider the token length part of the fixed API which I think it is all intense and purposes it is.
Finally, I have been watching feature suggestions come and go in this forum. Very few if any are responded to by anyone with the influence to address them. And I can’t say that any have resulted in an actual change. So you may also consider the pragmatism of what I suggest.
I hope this helps 
| api | neutral | 0.704637 | [
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] | null | null | null | null | https://community.openai.com/t/161891 | https://community.openai.com/p/237556 | Valorant | Tokenization (2) |
161,891 | [] | Request: Query for a models max tokens | "2023-04-16T06:22:15.756000Z" | 7 | 1,773 | 2 | 7 | 4 | 761 | 896,267 | 2024-02-27T09:11:13.500Z | <p>We are trying to build a data pipeline where the OpenAi API would be used to generate embeddings for our data analysis, in our case like said in the first comment we would switch between models with respect to our incoming data and I see OpenAI updating the models and changing the token limits so, hardcoding the limit would be troublesome</p>
<p>The API would be highly useful</p> | 5 | 0 | 616a29128a | 5 | [
264416,
271262,
524066,
137151,
143549
] | null | We are trying to build a data pipeline where the OpenAi API would be used to generate embeddings for our data analysis, in our case like said in the first comment we would switch between models with respect to our incoming data and I see OpenAI updating the models and changing the token limits so, hardcoding the limit would be troublesome
The API would be highly useful
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] | null | null | null | null | https://community.openai.com/t/161891 | https://community.openai.com/p/896267 | Models (2) | Miscellaneous (27) |
161,891 | [] | Request: Query for a models max tokens | "2023-04-16T06:22:15.756000Z" | 7 | 1,773 | 2 | 7 | 4 | 761 | 896,306 | 2024-02-27T09:29:09.330Z | <p>I haven’t seen OpenAI randomly changing the context window length / number of max tokens on the API side, yet. Such a change would likely have massive impact on many deployed solutions and would be a unexpected move.<br>
You should be able to create a config file with the model specifications and if this this highly unlikely event should occur, at least you can make your changes very easily.</p>
<p>Also, note the ‘edit’ in OP’s post, where they create an error message from the API which informs you about the max tokens for the particular model. You can run something like this regularly, extract the values and will be informed if you need to update your app’s config.</p>
<p>But, as I said, this is not a likely scenario. You can focus your efforts on other parts of your project.</p> | 4 | 0 | 9d201ff333 | 6 | [
264416,
271262,
524066,
137151,
143549
] | null | I haven’t seen OpenAI randomly changing the context window length / number of max tokens on the API side, yet. Such a change would likely have massive impact on many deployed solutions and would be a unexpected move.
You should be able to create a config file with the model specifications and if this this highly unlikely event should occur, at least you can make your changes very easily.
Also, note the ‘edit’ in OP’s post, where they create an error message from the API which informs you about the max tokens for the particular model. You can run something like this regularly, extract the values and will be informed if you need to update your app’s config.
But, as I said, this is not a likely scenario. You can focus your efforts on other parts of your project.
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] | null | null | null | null | https://community.openai.com/t/161891 | https://community.openai.com/p/896306 | Booking | Tokenization (2) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,283 | 2023-12-16T20:51:48.483Z | <p>When I try this pipeline, the function call at the bottom has a randomly generated story as its argument. I expect the argument to be the text in the ch1.txt file which I’ve uploaded to the assistant when I create said assistant.</p>
<p>I have included ‘retrieval’ and my function calls in the tools list (passed to assistants.create)</p>
<p>It clearly finds at least one of the functions and uses it through the assistant, it’s just not hooking up with my uploaded file. list(client.files.list())[0].id is definately my ch1.txt file and it uploaded correctly.</p>
<pre data-code-wrap="py"><code class="lang-py">#step 1 upload our chapter txt
upload_file = 'ch1.txt'
if upload_file not in [i.filename for i in client.files.list()]:
chapter_file = client.files.create(
file=open(upload_file, "rb"),
purpose='assistants'),
print('uploaded')
else:
print('already uploaded')
#step 2 setup tools :retrieval/function calls
tools = [{'type': 'retrieval'}]
generate_chapter_summary = {
"name": "generate_chapter_summary",
"description": "A function that takes in a chapter text and generates a summary.",
"parameters": {
"type": "object",
"properties": {
"chapter_text" : {
"type": "string",
"description" : "The text of the chapter to summarize"
}
}
},
"required": ["chapter_text"]
}
list_character_facts = {
"name": "list_character_facts",
"description": "A function that takes in a chapter text and lists character facts in a JSON format.",
"parameters": {
"type": "object",
"properties": {
"chapter_text" : {
"type": "string",
"description" : "The text of the chapter to analyze for character facts"
}
}
},
"required": ["chapter_text"]
}
tools.append({'type': 'function', 'function': generate_chapter_summary})
tools.append({'type': 'function', 'function': list_character_facts})
print(tools)
chapter_file = list(client.files.list())[0]
chapter_file_id = chapter_file.id
if assistant is None:
assistant = client.beta.assistants.create (
name="colab Literature content writer",
instructions=f"Retrieve the file {chapter_file_id}. And answer questions about the contents of the story chapter.",
model = "gpt-3.5-turbo-1106",
tools = tools,
file_ids=[chapter_file_id]
)
else:
pass
#step 4 create nwe thread
thread = client.beta.threads.create()
#step 5 add user message to thread
message = client.beta.threads.messages.create(
thread_id = thread.id,
role = 'user',
content=f'Generate Chapter summary Who is present in this chapter from the file {chapter_file_id}?',
)
#step 6 run assistant to get back response
run = client.beta.threads.runs.create(
thread_id = thread.id,
assistant_id = assistant.id,
)
#step 7 get back a response
run = client.beta.threads.runs.retrieve(
thread_id = thread.id,
run_id = run.id
)
while run.status not in ["completed", "failed", "requires_action"]:
run = client.beta.threads.runs.retrieve(
thread_id = thread.id,
run_id = run.id
)
print(run.status)
time.sleep(10)
## Step 8 - IF "requires_action" then figure out and call the correct function logic
tools_to_call = run.required_action.submit_tool_outputs.tool_calls
print(len(tools_to_call))
print(tools_to_call)
for i in tools_to_call:
print(f'{i.function.name}')
print(f'{i.function.arguments}')
print()```
This outputs
[RequiredActionFunctionToolCall(id='call_so9L7nnnd68X6HPvMOJTGNIl', function=Function(arguments='{"chapter_text":"Amidst the chaos and destruction, Captain Maria rallied her team to secure the perimeter. Private Rodriguez, Corporal Johnson, and Sergeant Ramirez moved swiftly, taking cover behind the debris. The enemy forces were relentless, but Lieutenant Chen and Major Patel provided air support from the Apache helicopters. As the battle raged on, Doctor Nguyen tended to the wounded in the makeshift field hospital, while Captain Lee coordinated communication between the ground units and headquarters."}', name='generate_chapter_summary'), type='function')]
Which is a completely unrelated story that it generates as the argument for the function call.
I explicitly put the filename (on openai server) in the prompt/instructions.</code></pre> | 58 | 0 | 91d127c8d4 | 1 | [
536171,
530158,
565091,
531813,
534208
] | null | When I try this pipeline, the function call at the bottom has a randomly generated story as its argument. I expect the argument to be the text in the ch1.txt file which I’ve uploaded to the assistant when I create said assistant.
I have included ‘retrieval’ and my function calls in the tools list (passed to assistants.create)
It clearly finds at least one of the functions and uses it through the assistant, it’s just not hooking up with my uploaded file. list(client.files.list())[0].id is definately my ch1.txt file and it uploaded correctly.
```
#step 1 upload our chapter txt
upload_file = 'ch1.txt'
if upload_file not in [i.filename for i in client.files.list()]:
chapter_file = client.files.create(
file=open(upload_file, "rb"),
purpose='assistants'),
print('uploaded')
else:
print('already uploaded')
#step 2 setup tools :retrieval/function calls
tools = [{'type': 'retrieval'}]
generate_chapter_summary = {
"name": "generate_chapter_summary",
"description": "A function that takes in a chapter text and generates a summary.",
"parameters": {
"type": "object",
"properties": {
"chapter_text" : {
"type": "string",
"description" : "The text of the chapter to summarize"
}
}
},
"required": ["chapter_text"]
}
list_character_facts = {
"name": "list_character_facts",
"description": "A function that takes in a chapter text and lists character facts in a JSON format.",
"parameters": {
"type": "object",
"properties": {
"chapter_text" : {
"type": "string",
"description" : "The text of the chapter to analyze for character facts"
}
}
},
"required": ["chapter_text"]
}
tools.append({'type': 'function', 'function': generate_chapter_summary})
tools.append({'type': 'function', 'function': list_character_facts})
print(tools)
chapter_file = list(client.files.list())[0]
chapter_file_id = chapter_file.id
if assistant is None:
assistant = client.beta.assistants.create (
name="colab Literature content writer",
instructions=f"Retrieve the file {chapter_file_id}. And answer questions about the contents of the story chapter.",
model = "gpt-3.5-turbo-1106",
tools = tools,
file_ids=[chapter_file_id]
)
else:
pass
#step 4 create nwe thread
thread = client.beta.threads.create()
#step 5 add user message to thread
message = client.beta.threads.messages.create(
thread_id = thread.id,
role = 'user',
content=f'Generate Chapter summary Who is present in this chapter from the file {chapter_file_id}?',
)
#step 6 run assistant to get back response
run = client.beta.threads.runs.create(
thread_id = thread.id,
assistant_id = assistant.id,
)
#step 7 get back a response
run = client.beta.threads.runs.retrieve(
thread_id = thread.id,
run_id = run.id
)
while run.status not in ["completed", "failed", "requires_action"]:
run = client.beta.threads.runs.retrieve(
thread_id = thread.id,
run_id = run.id
)
print(run.status)
time.sleep(10)
## Step 8 - IF "requires_action" then figure out and call the correct function logic
tools_to_call = run.required_action.submit_tool_outputs.tool_calls
print(len(tools_to_call))
print(tools_to_call)
for i in tools_to_call:
print(f'{i.function.name}')
print(f'{i.function.arguments}')
print()```
This outputs
[RequiredActionFunctionToolCall(id='call_so9L7nnnd68X6HPvMOJTGNIl', function=Function(arguments='{"chapter_text":"Amidst the chaos and destruction, Captain Maria rallied her team to secure the perimeter. Private Rodriguez, Corporal Johnson, and Sergeant Ramirez moved swiftly, taking cover behind the debris. The enemy forces were relentless, but Lieutenant Chen and Major Patel provided air support from the Apache helicopters. As the battle raged on, Doctor Nguyen tended to the wounded in the makeshift field hospital, while Captain Lee coordinated communication between the ground units and headquarters."}', name='generate_chapter_summary'), type='function')]
Which is a completely unrelated story that it generates as the argument for the function call.
I explicitly put the filename (on openai server) in the prompt/instructions.
```
| api | neutral | 0.849952 | [
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756283 | Functions (2) | Embeddings (6) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,324 | 2023-12-16T21:13:50.333Z | <p>When you open the assistants screen in the backend do you see the specific file as well (this is tricky because at the moment it doesn’t show the file name you used).</p> | 42 | 2 | 59f4c2f25d | 2 | [
536171,
530158,
565091,
531813,
534208
] | null | When you open the assistants screen in the backend do you see the specific file as well (this is tricky because at the moment it doesn’t show the file name you used).
| api | neutral | 0.861025 | [
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756324 | File Management (3) | Embeddings (6) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,331 | 2023-12-16T21:24:10.763Z | <p>As a simple solution, I’ve mapped the names of the files in the backend with their original names <img src="https://emoji.discourse-cdn.com/twitter/hugs.png?v=12" title=":hugs:" class="emoji" alt=":hugs:" loading="lazy" width="20" height="20"></p> | 41 | 1 | 519500d121 | 3 | [
536171,
530158,
565091,
531813,
534208
] | null | As a simple solution, I’ve mapped the names of the files in the backend with their original names 
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756331 | Emoji (3) | Embeddings (6) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,349 | 2023-12-16T21:42:38.395Z | <p>Indeed, both the file I mean to use as well as the function calls appear in the assistants ui on backend.</p> | 38 | 0 | 91d127c8d4 | 4 | [
536171,
530158,
565091,
531813,
534208
] | null | Indeed, both the file I mean to use as well as the function calls appear in the assistants ui on backend.
| api | neutral | 0.822403 | [
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756349 | File Management (3) | Embeddings (6) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,350 | 2023-12-16T21:43:31.227Z | <p>I’m not sure I understand. You map the openai file id to the original filename? Then in the message thread you include the name or fileid in the prompt?</p> | 36 | 1 | 91d127c8d4 | 5 | [
536171,
530158,
565091,
531813,
534208
] | null | I’m not sure I understand. You map the openai file id to the original filename? Then in the message thread you include the name or fileid in the prompt?
| api | neutral | 0.740778 | [
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756350 | OpenAI | Miscellaneous (27) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,370 | 2023-12-16T21:54:28.014Z | <p>I am not sure about the contents of your file - but you might want to tune your prompt in the Assistant (not in the user message) a bit more to specifcally refer to what Chapter means - and where to find it? But you might already have that. We don’t know it the moment if the file IS indeed stored on Openai’s side or not.</p> | 35 | 1 | 59f4c2f25d | 6 | [
536171,
530158,
565091,
531813,
534208
] | null | I am not sure about the contents of your file - but you might want to tune your prompt in the Assistant (not in the user message) a bit more to specifcally refer to what Chapter means - and where to find it? But you might already have that. We don’t know it the moment if the file IS indeed stored on Openai’s side or not.
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756370 | OpenAI | Miscellaneous (27) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,409 | 2023-12-16T22:27:10.012Z | <p>I edited my OP code, I use f string to include openai file id in both but it still ignores it. it’s just a small txt file with the literal chapter text.</p> | 31 | 1 | 91d127c8d4 | 7 | [
536171,
530158,
565091,
531813,
534208
] | null | I edited my OP code, I use f string to include openai file id in both but it still ignores it. it’s just a small txt file with the literal chapter text.
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756409 | OpenAI | Miscellaneous (27) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,465 | 2023-12-16T23:50:40.460Z | <p>I did it over again and now it works but only for gpt4-1106 preview. I mention the filename and openai file_id in every place I can</p> | 31 | 1 | 91d127c8d4 | 8 | [
536171,
530158,
565091,
531813,
534208
] | null | I did it over again and now it works but only for gpt4-1106 preview. I mention the filename and openai file\_id in every place I can
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756465 | Miscellaneous | GPTs (4) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 756,751 | 2023-12-17T07:16:02.504Z | <aside class="quote no-group" data-username="glector" data-post="8" data-topic="561504">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/glector/48/275195_2.png" class="avatar"> glector:</div>
<blockquote>
<p>gpt4-1106 preview</p>
</blockquote>
</aside>
<p>Assistants and the preview AI models are friends. They are the only ones that support multi-tool calls, and OpenAI is not forthcoming with the functions and tools used internally by assistant agents to know what is required, or what is actually happening.</p>
<p>(edit: more is found when you stumble across “endpoint compatibility” of all places - that retrieval requires use of -1106 models. Thus assistants must need some of the new training, likely the parallel tool call ability being used to explore documents specifically by function.)</p> | 30 | 0 | b368833582 | 9 | [
536171,
530158,
565091,
531813,
534208
] | null |
 glector:
>
> gpt4-1106 preview
>
>
>
Assistants and the preview AI models are friends. They are the only ones that support multi-tool calls, and OpenAI is not forthcoming with the functions and tools used internally by assistant agents to know what is required, or what is actually happening.
(edit: more is found when you stumble across “endpoint compatibility” of all places - that retrieval requires use of -1106 models. Thus assistants must need some of the new training, likely the parallel tool call ability being used to explore documents specifically by function.)
| api | neutral | 0.793587 | [
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/756751 | Assistants, API, Platform | Embeddings (6) |
561,504 | [
"api"
] | Troubles combining Retrieval + Function Calling tool via Assistants API | "2023-12-16T20:51:48.418000Z" | 7 | 636 | 7 | 4 | 5 | 908 | 896,297 | 2024-02-27T09:25:39.014Z | <p>I have been facing the same issue. It seems that currently there are not gpt-3.5 models supporting both these tools at the same time. <a class="mention" href="/u/glector">@glector</a> did you manage to find a solution for this?</p> | 2 | 0 | 415737277a | 10 | [
536171,
530158,
565091,
531813,
534208
] | null | I have been facing the same issue. It seems that currently there are not gpt-3.5 models supporting both these tools at the same time. [@glector](/u/glector) did you manage to find a solution for this?
| api | negative | 0.813479 | [
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] | api | null | null | null | https://community.openai.com/t/561504 | https://community.openai.com/p/896297 | GPTs (2) | GPTs (4) |
655,695 | [
"rag"
] | How do you manage your context tokens for RAG? | "2024-02-26T17:53:01.484000Z" | 7 | 91 | 0 | 2 | 2 | 139 | 894,883 | 2024-02-26T17:53:01.545Z | <p>Hey everyone,</p>
<p>Apologies in advance as I am a “beginner” in this field.</p>
<p>I’ve created a chatbot for Q&A about an uploaded file (pdf slides) using embeddings and RAG. However I always reach my token limit (either TPM or context) as when I ask the chatbot multiple questions I simply have to much tokens in my chat history due to multiple RAGs. How did you do it without deleting the “oldest” message in chat history? And how do you manage your context window in a conversation/thread?</p> | 20 | 0 | 4a08c84a86 | 1 | [
227848,
224219,
95438,
268388,
220182
] | 2 | Hey everyone,
Apologies in advance as I am a “beginner” in this field.
I’ve created a chatbot for Q&A about an uploaded file (pdf slides) using embeddings and RAG. However I always reach my token limit (either TPM or context) as when I ask the chatbot multiple questions I simply have to much tokens in my chat history due to multiple RAGs. How did you do it without deleting the “oldest” message in chat history? And how do you manage your context window in a conversation/thread?
| api | neutral | 0.6746 | [
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] | rag | null | null | null | https://community.openai.com/t/655695 | https://community.openai.com/p/894883 | Conversation History | Embeddings (6) |
655,695 | [
"rag"
] | How do you manage your context tokens for RAG? | "2024-02-26T17:53:01.484000Z" | 7 | 91 | 0 | 2 | 2 | 139 | 895,296 | 2024-02-26T23:09:51.962Z | <p>Hi <a class="mention" href="/u/apro">@APRO</a></p>
<p>Context tokens can be managed using <a href="https://platform.openai.com/docs/guides/embeddings/embeddings">embeddings</a>.</p>
<p>I wrote a tutorial for simple context management last year: <a href="https://community.openai.com/t/use-embeddings-to-retrieve-relevant-context-for-ai-assistant/268538" class="inline-onebox">Use embeddings to retrieve relevant context for AI assistant</a></p> | 11 | 0 | e5f957560a | 2 | [
227848,
224219,
95438,
268388,
220182
] | 2 | Hi [@APRO](/u/apro)
Context tokens can be managed using [embeddings](https://platform.openai.com/docs/guides/embeddings/embeddings).
I wrote a tutorial for simple context management last year: [Use embeddings to retrieve relevant context for AI assistant](https://community.openai.com/t/use-embeddings-to-retrieve-relevant-context-for-ai-assistant/268538)
| api | neutral | 0.701495 | [
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] | rag | null | null | null | https://community.openai.com/t/655695 | https://community.openai.com/p/895296 | Embeddings (2) | Embeddings (6) |
655,695 | [
"rag"
] | How do you manage your context tokens for RAG? | "2024-02-26T17:53:01.484000Z" | 7 | 91 | 0 | 2 | 2 | 139 | 896,282 | 2024-02-27T09:18:19.465Z | <p>Thank you so much!! This is perfect <img src="https://emoji.discourse-cdn.com/twitter/smiley.png?v=12" title=":smiley:" class="emoji" alt=":smiley:" loading="lazy" width="20" height="20"></p> | 5 | 0 | 4a08c84a86 | 3 | [
227848,
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95438,
268388,
220182
] | 2 | Thank you so much!! This is perfect 
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] | rag | null | null | null | https://community.openai.com/t/655695 | https://community.openai.com/p/896282 | Emoji (7) | Emoji (8) |
656,693 | [
"api",
"function-calling"
] | Do All Steps in the Function Call Process Incur Costs | "2024-02-27T09:10:44.048000Z" | 7 | 35 | 0 | 0 | 1 | 39 | 896,265 | 2024-02-27T09:10:44.112Z | <p>When using function calls, I think the process should be:</p>
<pre><code class="lang-auto">user --> tool_call
tool_call --> function_call
function_call --> assistant
</code></pre>
<p>My question is, do all three of the above steps incur costs? Because I am currently using streaming and cannot see the results.</p> | 9 | 0 | 1125a1b3af | 1 | [
548769,
566648,
625733,
625784,
591242
] | null | When using function calls, I think the process should be:
```
user --> tool_call
tool_call --> function_call
function_call --> assistant
```
My question is, do all three of the above steps incur costs? Because I am currently using streaming and cannot see the results.
| api | neutral | 0.697471 | [
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] | api | function-calling | null | null | https://community.openai.com/t/656693 | https://community.openai.com/p/896265 | Functions (4) | Embeddings (6) |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 883,755 | 2024-02-22T03:42:59.125Z | <p>I am trying to ask GPT to tell a story using words from a given word set.<br>
It seems by only using simple prompting, the GPT would still give words outside the set, even when I ask it to check and refine.</p>
<p>Sample prompt:</p>
<blockquote>
<p>Tell a short story (within 30 words). You can only use the words from this following list: Dad, Mom, baby, eat, drink, is, happy, come, go, sleep, wake, up, down, sunny, windy, cloudy, weather, sun, moon, cloud, star, left, right, desk, bed, dog, cat, red, yellow, purple, green, gold.</p>
<p>After you make the story, check if it contains words outside the list. If so, please refine your story.</p>
</blockquote>
<p>Sample output from GPT:</p>
<blockquote>
<p>Mom and Dad smile. Baby wakes up, happy. Sunny day outside, no clouds. Cat sits left, dog right. At night, baby sleeps. Moon and stars up. Weather is calm. Dreams of gold.</p>
<p>The story is within the word limit and exclusively uses words from the provided list.</p>
</blockquote>
<p>Is there a better way to make GPT’s output better follow the given word list?</p>
<p>All feedback welcome!<br>
Thanks.</p> | 24 | 1 | 1d141490fd | 1 | [
565813,
167298,
291663,
440160,
167191
] | null | I am trying to ask GPT to tell a story using words from a given word set.
It seems by only using simple prompting, the GPT would still give words outside the set, even when I ask it to check and refine.
Sample prompt:
>
> Tell a short story (within 30 words). You can only use the words from this following list: Dad, Mom, baby, eat, drink, is, happy, come, go, sleep, wake, up, down, sunny, windy, cloudy, weather, sun, moon, cloud, star, left, right, desk, bed, dog, cat, red, yellow, purple, green, gold.
>
>
> After you make the story, check if it contains words outside the list. If so, please refine your story.
>
>
>
Sample output from GPT:
>
> Mom and Dad smile. Baby wakes up, happy. Sunny day outside, no clouds. Cat sits left, dog right. At night, baby sleeps. Moon and stars up. Weather is calm. Dreams of gold.
>
>
> The story is within the word limit and exclusively uses words from the provided list.
>
>
>
Is there a better way to make GPT’s output better follow the given word list?
All feedback welcome!
Thanks.
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/883755 | Model Training | Embeddings (6) |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 883,819 | 2024-02-22T04:20:28.719Z | <p>Are you using ChatGPT or the API?</p>
<p>As a starting point, I would recommend implement separating the prompt for the story development from the validation. That is, you want to implement the check and potential refinement/correction in a separate prompt/step.</p>
<p>For the first part, I’d try playing a bit around with wording to reinforce the instruction, such as by stating “you must exclusively draw from the following list of words”. Additionally you should set the temperature to 0, which is likely to also help in reducing deviations from the pre-defined list of words.</p>
<p>Also note that models are not good at adhering to a specific word count. Rather say that you want the story in the form of one paragraph or 2-3 sentences.</p> | 21 | 0 | 5b48a0acbf | 2 | [
565813,
167298,
291663,
440160,
167191
] | null | Are you using ChatGPT or the API?
As a starting point, I would recommend implement separating the prompt for the story development from the validation. That is, you want to implement the check and potential refinement/correction in a separate prompt/step.
For the first part, I’d try playing a bit around with wording to reinforce the instruction, such as by stating “you must exclusively draw from the following list of words”. Additionally you should set the temperature to 0, which is likely to also help in reducing deviations from the pre-defined list of words.
Also note that models are not good at adhering to a specific word count. Rather say that you want the story in the form of one paragraph or 2-3 sentences.
| api | neutral | 0.882011 | [
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/883819 | ChatGPT (2) | Embeddings (6) |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 883,875 | 2024-02-22T04:55:25.805Z | <aside class="quote no-group quote-modified" data-username="enchyisle" data-post="1" data-topic="647164">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/enchyisle/48/283803_2.png" class="avatar"> enchyisle:</div>
<blockquote>
<blockquote>
<p>After you make the story, check if it contains words outside the list. If so, please refine your story.</p>
</blockquote>
</blockquote>
</aside>
<p><a class="mention" href="/u/jr.2509">@jr.2509</a> 's is a good start, but I’ll add this:</p>
<ol>
<li>the models aren’t good at tasks that a computer could do better. Counting words or checking lists, use a programming language for that.<br>
you can try this prompt in chatgpt:</li>
</ol>
<blockquote>
<p>Tell a short story (within 30 words). You can only use the words from this following list:</p>
<p>[Dad, Mom, baby, eat, drink, is, happy, come, go, sleep, wake, up, down, sunny, windy, cloudy, weather, sun, moon, cloud, star, left, right, desk, bed, dog, cat, red, yellow, purple, green, gold]</p>
<p>After you make the story, use the code interpreter to count the words, and compare the words used to the words in the list (remove punctuation). List words used that aren’t in the given list. If the list of superfluous words isn’t empty, try again.</p>
</blockquote>
<ol start="2">
<li><em>sometimes</em> the model fails to objectively look at its own output for some reason. It’s sometimes better to take the output, and wrap it into a user input to get a better result.</li>
</ol> | 19 | 0 | 69bb4acfca | 3 | [
565813,
167298,
291663,
440160,
167191
] | null |
 enchyisle:
>
>
> >
> > After you make the story, check if it contains words outside the list. If so, please refine your story.
> >
> >
> >
>
>
>
[@jr.2509](/u/jr.2509) 's is a good start, but I’ll add this:
1. the models aren’t good at tasks that a computer could do better. Counting words or checking lists, use a programming language for that.
you can try this prompt in chatgpt:
>
> Tell a short story (within 30 words). You can only use the words from this following list:
>
>
> [Dad, Mom, baby, eat, drink, is, happy, come, go, sleep, wake, up, down, sunny, windy, cloudy, weather, sun, moon, cloud, star, left, right, desk, bed, dog, cat, red, yellow, purple, green, gold]
>
>
> After you make the story, use the code interpreter to count the words, and compare the words used to the words in the list (remove punctuation). List words used that aren’t in the given list. If the list of superfluous words isn’t empty, try again.
>
>
>
2. *sometimes* the model fails to objectively look at its own output for some reason. It’s sometimes better to take the output, and wrap it into a user input to get a better result.
| api | neutral | 0.725845 | [
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/883875 | Writing Prompts | Artificial Intelligence |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 883,943 | 2024-02-22T05:33:18.060Z | <p>Hi and welcome <a class="mention" href="/u/enchyisle">@enchyisle</a></p>
<p>Both <a class="mention" href="/u/diet">@Diet</a> and <a class="mention" href="/u/jr.2509">@jr.2509</a> have made valid points.</p>
<p>If you are using the API, I made a <a href="https://platform.openai.com/playground/p/4ha5HIR55WHn4L3yg17me19A?model=gpt-3.5-turbo&mode=chat">demo on playground that works</a>.</p>
<p>It also is affected by models as <code>gpt-3.5-turbo</code> may not necessarily follow the entire instruction while also creatively writing the poem, if you find that happening switch to <code>gpt-4</code> or <code>gpt-4-turbo-preview</code></p> | 17 | 1 | e5f957560a | 4 | [
565813,
167298,
291663,
440160,
167191
] | null | Hi and welcome [@enchyisle](/u/enchyisle)
Both [@Diet](/u/diet) and [@jr.2509](/u/jr.2509) have made valid points.
If you are using the API, I made a [demo on playground that works](https://platform.openai.com/playground/p/4ha5HIR55WHn4L3yg17me19A?model=gpt-3.5-turbo&mode=chat).
It also is affected by models as `gpt-3.5-turbo` may not necessarily follow the entire instruction while also creatively writing the poem, if you find that happening switch to `gpt-4` or `gpt-4-turbo-preview`
| api | positive | 0.793046 | [
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/883943 | Miscellaneous | GPTs (4) |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 884,001 | 2024-02-22T05:54:45.131Z | <p>Have fun:</p>
<p><code>logit_bias = {33621:100, 22969:100, 8945:100, 8343:100, 7172:100, 374:100, 6380:100, 2586:100, 733:100, 6212:100, 15508:100, 709:100, 1523:100, 40798:100, 94021:100, 74649:100, 9282:100, 7160:100, 18266:100, 9624:100, 6917:100, 2163:100, 1314:100, 18496:100, 4950:100, 5679:100, 8415:100, 2579:100, 14071:100, 25977:100, 6307:100, 11:100, 6761:100, 13:100 }, top_p = .1,</code></p> | 17 | 2 | b368833582 | 5 | [
565813,
167298,
291663,
440160,
167191
] | null | Have fun:
`logit_bias = {33621:100, 22969:100, 8945:100, 8343:100, 7172:100, 374:100, 6380:100, 2586:100, 733:100, 6212:100, 15508:100, 709:100, 1523:100, 40798:100, 94021:100, 74649:100, 9282:100, 7160:100, 18266:100, 9624:100, 6917:100, 2163:100, 1314:100, 18496:100, 4950:100, 5679:100, 8415:100, 2579:100, 14071:100, 25977:100, 6307:100, 11:100, 6761:100, 13:100 }, top_p = .1,`
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/884001 | Sampling | Artificial Intelligence |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 884,035 | 2024-02-22T06:06:13.481Z | <aside class="quote no-group quote-modified" data-username="_j" data-post="5" data-topic="647164">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/_j/48/277961_2.png" class="avatar"> _j:</div>
<blockquote>
<p>logit_bias = {33621:100…</p>
</blockquote>
</aside>
<p>of course <img src="https://emoji.discourse-cdn.com/twitter/rofl.png?v=12" title=":rofl:" class="emoji" alt=":rofl:" loading="lazy" width="20" height="20"></p>
<pre data-code-height="21" data-code-wrap="mermaid"><code class="lang-mermaid"> flowchart
</code></pre> | 16 | 0 | 69bb4acfca | 6 | [
565813,
167298,
291663,
440160,
167191
] | null |
 \_j:
>
> logit\_bias = {33621:100…
>
>
>
of course 
```
flowchart
```
| api | neutral | 0.82461 | [
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/884035 | Miscellaneous (5) | Miscellaneous (27) |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 896,029 | 2024-02-27T06:39:08.786Z | <p>Thank you for the demo.<br>
Gpt-4-turbo-preview cannot resist from using external words, either.<br>
I guess it has something to do with the limited size of words given to it, which is really not a trivial task.</p> | 9 | 0 | 1d141490fd | 7 | [
565813,
167298,
291663,
440160,
167191
] | null | Thank you for the demo.
Gpt-4-turbo-preview cannot resist from using external words, either.
I guess it has something to do with the limited size of words given to it, which is really not a trivial task.
| api | positive | 0.816889 | [
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/896029 | Personality | GPTs (4) |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 896,045 | 2024-02-27T06:50:34.953Z | <p>I haven’t tried this before.<br>
You are right about the “fun” part, hhhh.</p>
<p>See what I got here:</p>
<blockquote>
<p>Mom, Dad, baby, dog, cat wake up. Dad, Mom eat. baby, dog, cat drink. happy sunny weather. baby go</p>
</blockquote>
<p>I was wondering if I had pushed it too hard. <img src="https://emoji.discourse-cdn.com/twitter/sweat_smile.png?v=12" title=":sweat_smile:" class="emoji" alt=":sweat_smile:" loading="lazy" width="20" height="20"></p>
<p>I have two further questions regarding the use of logit_bias:</p>
<ol>
<li>When I used a limited size of logit_bias map (all with value 100), it took GPT(4-preview) very long to output some looped texts. For example, when I give the ids of “hello, how are you today?” to it and ask it “hello”, I got this:</li>
</ol>
<blockquote>
<p>hello, how are you? how are you today? how are you? how are you today? how are you? how are you today? how are you? how are you today? how are you? how are you today? how are you? how are you today? how are you? how are you today?..<em>.(looped much more times, let’s save some space here…)</em></p>
</blockquote>
<p>I had to limit it by using the parameters “max_tokens” or “stop”(with question mark or period). But that doesn’t seem good enough.<br>
Is there a best practice for using the logit_bias?</p>
<ol start="2">
<li>Does the logit_bias work for non latin languages? I tried Chinese, but it’s giving me weird results.</li>
</ol> | 8 | 2 | 1d141490fd | 8 | [
565813,
167298,
291663,
440160,
167191
] | null | I haven’t tried this before.
You are right about the “fun” part, hhhh.
See what I got here:
>
> Mom, Dad, baby, dog, cat wake up. Dad, Mom eat. baby, dog, cat drink. happy sunny weather. baby go
>
>
>
I was wondering if I had pushed it too hard. 
I have two further questions regarding the use of logit\_bias:
1. When I used a limited size of logit\_bias map (all with value 100), it took GPT(4-preview) very long to output some looped texts. For example, when I give the ids of “hello, how are you today?” to it and ask it “hello”, I got this:
>
> hello, how are you? how are you today? how are you? how are you today? how are you? how are you today? how are you? how are you today? how are you? how are you today? how are you? how are you today? how are you? how are you today?..*.(looped much more times, let’s save some space here…)*
>
>
>
I had to limit it by using the parameters “max\_tokens” or “stop”(with question mark or period). But that doesn’t seem good enough.
Is there a best practice for using the logit\_bias?
2. Does the logit\_bias work for non latin languages? I tried Chinese, but it’s giving me weird results.
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/896045 | Emoji (3) | Embeddings (6) |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 896,074 | 2024-02-27T07:09:02.300Z | <aside class="quote no-group" data-username="enchyisle" data-post="8" data-topic="647164">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/enchyisle/48/283803_2.png" class="avatar"> enchyisle:</div>
<blockquote>
<p>Does the logit_bias work for non latin languages? I tried Chinese, but it’s giving me weird results.</p>
</blockquote>
</aside>
<p>Sorry my bad. I corrected my mistake and it worked for Chinese.</p> | 8 | 0 | 1d141490fd | 9 | [
565813,
167298,
291663,
440160,
167191
] | null |
 enchyisle:
>
> Does the logit\_bias work for non latin languages? I tried Chinese, but it’s giving me weird results.
>
>
>
Sorry my bad. I corrected my mistake and it worked for Chinese.
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/896074 | Languages | Artificial Intelligence |
647,164 | [
"chatgpt",
"gpt-4",
"api",
"prompt"
] | Is it possible to limit output vocabulary in a given set? | "2024-02-22T03:42:59.051000Z" | 7 | 149 | 5 | 5 | 5 | 1,141 | 896,260 | 2024-02-27T09:07:54.002Z | <aside class="quote no-group" data-username="enchyisle" data-post="8" data-topic="647164">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/enchyisle/48/283803_2.png" class="avatar"> enchyisle:</div>
<blockquote>
<p>When I used a limited size of logit_bias map (all with value 100), it took GPT(4-preview) very long to output some looped texts. For example, when I give the ids of “hello, how are you today?” to it and ask it “hello”, I got this:</p>
</blockquote>
</aside>
<p><img src="https://emoji.discourse-cdn.com/twitter/thinking.png?v=12" title=":thinking:" class="emoji only-emoji" alt=":thinking:" loading="lazy" width="20" height="20"></p>
<p>what were you expecting? you’re pushing the probabilities of these couple of tokens so far up that they eclipse everything else.</p>
<p>Are you complaining that the model doesn’t stop automatically? In theory you could add a positive logit bias for the end of text token, <a href="https://community.openai.com/t/gpt-3-5-and-gpt-4-endoftext-token-suppression-logit-bias/304047">but in practice that doesn’t seem to work.</a> You could instead add a stop sequence for "? " in that particular case, or instruct the model to end the sequence with a particular token that is also biased, which you then catch with a stop sequence.</p> | 6 | 0 | 69bb4acfca | 10 | [
565813,
167298,
291663,
440160,
167191
] | null |
 enchyisle:
>
> When I used a limited size of logit\_bias map (all with value 100), it took GPT(4-preview) very long to output some looped texts. For example, when I give the ids of “hello, how are you today?” to it and ask it “hello”, I got this:
>
>
>
what were you expecting? you’re pushing the probabilities of these couple of tokens so far up that they eclipse everything else.
Are you complaining that the model doesn’t stop automatically? In theory you could add a positive logit bias for the end of text token, [but in practice that doesn’t seem to work.](https://community.openai.com/t/gpt-3-5-and-gpt-4-endoftext-token-suppression-logit-bias/304047) You could instead add a stop sequence for "? " in that particular case, or instruct the model to end the sequence with a particular token that is also biased, which you then catch with a stop sequence.
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] | chatgpt | gpt-4 | api | prompt | https://community.openai.com/t/647164 | https://community.openai.com/p/896260 | Sampling | Artificial Intelligence |
656,272 | [
"fine-tuning"
] | Is My Project Worth Trying to Fine-Tune? | "2024-02-27T03:22:42.006000Z" | 7 | 60 | 0 | 0 | 2 | 111 | 895,741 | 2024-02-27T03:22:42.073Z | <p>I was thinking about running an experimental fine-tuning on ChatGPT 3.5.</p>
<p>I would feed it ~100,000 song lyrics (tagged by genre and year) in hopes of having the model write “high-quality” lyrics.</p>
<p>But after reading what I could find on fine-tuning and chatting with ChatGPT (4) itself, I’m doubting that a fine-tuned 3.5 can do any better than ChatGPT 4. Can anyone tell me if that’s the case?</p> | 20 | 0 | 37983d6a47 | 1 | [
399933,
53909,
593659,
8681,
120940
] | null | I was thinking about running an experimental fine-tuning on ChatGPT 3.5.
I would feed it ~100,000 song lyrics (tagged by genre and year) in hopes of having the model write “high-quality” lyrics.
But after reading what I could find on fine-tuning and chatting with ChatGPT (4) itself, I’m doubting that a fine-tuned 3.5 can do any better than ChatGPT 4. Can anyone tell me if that’s the case?
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] | fine-tuning | null | null | null | https://community.openai.com/t/656272 | https://community.openai.com/p/895741 | ChatGPT (2) | Embeddings (6) |
656,272 | [
"fine-tuning"
] | Is My Project Worth Trying to Fine-Tune? | "2024-02-27T03:22:42.006000Z" | 7 | 60 | 0 | 0 | 2 | 111 | 896,239 | 2024-02-27T08:55:52.309Z | <p>Welcome to the Forum!</p>
<p>Interesting question and project.</p>
<p>Have you run any tests so far with GPT-4 and if so, what if any remaining concerns, are you looking to address through fine-tuning?</p> | 5 | 0 | 5b48a0acbf | 2 | [
399933,
53909,
593659,
8681,
120940
] | null | Welcome to the Forum!
Interesting question and project.
Have you run any tests so far with GPT-4 and if so, what if any remaining concerns, are you looking to address through fine-tuning?
| api | positive | 0.848322 | [
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] | fine-tuning | null | null | null | https://community.openai.com/t/656272 | https://community.openai.com/p/896239 | GPT Model Training | GPTs (4) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 893,757 | 2024-02-26T07:44:16.202Z | <p>Good afternoon from the Philippines! My name is Diego. I am an intern tasked to create a chat bot which allows users to upload excel files as training data. From there, if a user prompts a question, then the chat bot will answer with what has been uploaded in the dataset. I’ve therefore converted excel files into .jsonl to make this happen. Initially, we used fine tuning for this. After testing, the chat bot was not very accurate and was really just a hit or miss when it comes to being correct. After thorough research, I found out that using embeddings is a more appropriate way to go about this. How do I conceptualize this? Anyways, I’m just venting out my frustration as I feel like I’m not making any progress.</p> | 45 | 0 | 2647c322a3 | 1 | [
560422,
73688,
86237,
33594,
374368
] | null | Good afternoon from the Philippines! My name is Diego. I am an intern tasked to create a chat bot which allows users to upload excel files as training data. From there, if a user prompts a question, then the chat bot will answer with what has been uploaded in the dataset. I’ve therefore converted excel files into .jsonl to make this happen. Initially, we used fine tuning for this. After testing, the chat bot was not very accurate and was really just a hit or miss when it comes to being correct. After thorough research, I found out that using embeddings is a more appropriate way to go about this. How do I conceptualize this? Anyways, I’m just venting out my frustration as I feel like I’m not making any progress.
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/893757 | Embeddings (3) | Embeddings (6) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 893,765 | 2024-02-26T07:53:24.713Z | <p>Hi <a class="mention" href="/u/diegojumagdao">@diegojumagdao</a> - welcome to the Forum. No need to get frustrated - i’m sure you’ll get there.</p>
<p>Did you have a chance yet to take a look at the resources in the OpenAI cookbook? There’s quite bit of guidance there in relation to embeddings etc.</p>
<p>This one is a good example to get started with:</p>
<aside class="onebox allowlistedgeneric" data-onebox-src="https://cookbook.openai.com/examples/question_answering_using_embeddings">
<header class="source">
<img src="https://cookbook.openai.com/favicon.svg" class="site-icon" width="500" height="500">
<a href="https://cookbook.openai.com/examples/question_answering_using_embeddings" target="_blank" rel="noopener nofollow ugc">cookbook.openai.com</a>
</header>
<article class="onebox-body">
<div class="aspect-image" style="--aspect-ratio:690/379;"><img src="https://global.discourse-cdn.com/openai1/original/4X/2/c/c/2cc9b5bb4ef4e602449597af1bc5297e9648bfe3.png" class="thumbnail" data-dominant-color="F2F2F2" width="690" height="379"></div>
<h3><a href="https://cookbook.openai.com/examples/question_answering_using_embeddings" target="_blank" rel="noopener nofollow ugc">Question answering using embeddings-based search | OpenAI Cookbook</a></h3>
<p>Open-source examples and guides for building with the OpenAI API. Browse a collection of snippets, advanced techniques and walkthroughs. Share your own examples and guides.</p>
</article>
<div class="onebox-metadata">
</div>
<div style="clear: both"></div>
</aside>
<p>There are quite a few other examples available there. Specifics of the approach will depend on whether you are looking to leverage a vector database and if so, which one.</p> | 44 | 1 | 5b48a0acbf | 2 | [
560422,
73688,
86237,
33594,
374368
] | null | Hi [@diegojumagdao](/u/diegojumagdao) - welcome to the Forum. No need to get frustrated - i’m sure you’ll get there.
Did you have a chance yet to take a look at the resources in the OpenAI cookbook? There’s quite bit of guidance there in relation to embeddings etc.
This one is a good example to get started with:
[cookbook.openai.com](https://cookbook.openai.com/examples/question_answering_using_embeddings)
### [Question answering using embeddings-based search | OpenAI Cookbook](https://cookbook.openai.com/examples/question_answering_using_embeddings)
Open-source examples and guides for building with the OpenAI API. Browse a collection of snippets, advanced techniques and walkthroughs. Share your own examples and guides.
There are quite a few other examples available there. Specifics of the approach will depend on whether you are looking to leverage a vector database and if so, which one.
| api | positive | 0.888754 | [
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/893765 | Embeddings (2) | Embeddings (6) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 893,767 | 2024-02-26T07:55:07.601Z | <p>Thanks! I’ll check it out and I’ll get back to you!</p> | 41 | 1 | 2647c322a3 | 3 | [
560422,
73688,
86237,
33594,
374368
] | null | Thanks! I’ll check it out and I’ll get back to you!
| api | positive | 0.844006 | [
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/893767 | Miscellaneous (20) | Emoji (8) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 893,776 | 2024-02-26T08:02:47.199Z | <p><img src="https://emoji.discourse-cdn.com/twitter/+1.png?v=12" title=":+1:" class="emoji" alt=":+1:" loading="lazy" width="20" height="20"> The Forum is a great resource. The more specific you can be in your question(s), the better advice you are likely to get.</p> | 39 | 1 | 5b48a0acbf | 4 | [
560422,
73688,
86237,
33594,
374368
] | null |  The Forum is a great resource. The more specific you can be in your question(s), the better advice you are likely to get.
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/893776 | Emoji (7) | Emoji (8) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 893,928 | 2024-02-26T09:37:49.359Z | <p>I just tested my own different wikipedia articles and I’m pretty satisfied with the results. My question is if embeddings can also read xls files instead of only csv files? If not, I’m thinking of just creating an xls to csv converter which can be read using embeddings. Next step now is to use a vector DB like Pinecone? We primarily use microsoft sql server management but I can definitely introduce it in the workplace.</p> | 35 | 0 | 2647c322a3 | 5 | [
560422,
73688,
86237,
33594,
374368
] | null | I just tested my own different wikipedia articles and I’m pretty satisfied with the results. My question is if embeddings can also read xls files instead of only csv files? If not, I’m thinking of just creating an xls to csv converter which can be read using embeddings. Next step now is to use a vector DB like Pinecone? We primarily use microsoft sql server management but I can definitely introduce it in the workplace.
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/893928 | Embeddings (3) | Embeddings (6) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 893,970 | 2024-02-26T09:59:58.537Z | <p>Welcome to the dev forum <a class="mention" href="/u/diegojumagdao">@diegojumagdao</a></p>
<p>Here’s breakout session from DevDay 2023 that should help provide more clarity:</p><div class="youtube-onebox lazy-video-container" data-video-id="ahnGLM-RC1Y" data-video-title="A Survey of Techniques for Maximizing LLM Performance" data-video-start-time="" data-provider-name="youtube">
<a href="https://www.youtube.com/watch?v=ahnGLM-RC1Y" target="_blank" rel="noopener">
<img class="youtube-thumbnail" src="https://global.discourse-cdn.com/openai1/original/3X/d/a/da4c715d95bcac1e09bcedb834c40f0c7b7c0167.jpeg" title="A Survey of Techniques for Maximizing LLM Performance" data-dominant-color="3F3927" width="690" height="388">
</a>
</div>
| 34 | 2 | e5f957560a | 6 | [
560422,
73688,
86237,
33594,
374368
] | null | Welcome to the dev forum [@diegojumagdao](/u/diegojumagdao)
Here’s breakout session from DevDay 2023 that should help provide more clarity:
[](https://www.youtube.com/watch?v=ahnGLM-RC1Y)
| api | positive | 0.816603 | [
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/893970 | LLMs | Artificial Intelligence |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 894,161 | 2024-02-26T11:47:53.699Z | <p>Happy birthday <a class="mention" href="/u/sps">@sps</a> !</p>
<p><img src="https://global.discourse-cdn.com/openai1/original/4X/9/4/9/9495c78b14e0386eed9d26c0e3992fbb43b1afa1.png" alt="image" data-base62-sha1="lcrz8d6XBScAtvpqCIUCKfPwbnj" width="211" height="111"></p> | 32 | 0 | 5b48a0acbf | 7 | [
560422,
73688,
86237,
33594,
374368
] | null | Happy birthday [@sps](/u/sps) !
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/894161 | Miscellaneous (18) | Emoji (8) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 895,029 | 2024-02-26T19:35:03.432Z | <p>Consider using the Python pandas libraries to read data into dataframes and then derive string inputs that can feed the OpenAI ChatGPT API 4096 character context input.</p>
<p>Example:</p>
<pre><code class="lang-auto">import pandas as pd
df=pd.read_csv("CSV Input File.csv")
# read in CSV file data
#OR
#df=pd.read_excel("Excel Input File.xlsx")
</code></pre> | 23 | 0 | 89c388a254 | 8 | [
560422,
73688,
86237,
33594,
374368
] | null | Consider using the Python pandas libraries to read data into dataframes and then derive string inputs that can feed the OpenAI ChatGPT API 4096 character context input.
Example:
```
import pandas as pd
df=pd.read_csv("CSV Input File.csv")
# read in CSV file data
#OR
#df=pd.read_excel("Excel Input File.xlsx")
```
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/895029 | Miscellaneous (7) | Embeddings (6) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 895,505 | 2024-02-27T01:06:39.170Z | <p>Thank you! It seems like RAG with embeddings is the way to go.</p> | 20 | 0 | 2647c322a3 | 9 | [
560422,
73688,
86237,
33594,
374368
] | null | Thank you! It seems like RAG with embeddings is the way to go.
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/895505 | Embeddings (3) | Embeddings (6) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 895,907 | 2024-02-27T05:12:44.080Z | <p>I’ve been trying to follow along the documentation in the api and it lead me me to here.<br>
<a href="https://cookbook.openai.com/examples/get_embeddings_from_dataset" class="inline-onebox" rel="noopener nofollow ugc">Get embeddings from dataset | OpenAI Cookbook</a><br>
However, it seems that embeddings_utils.py was dropped according to here:<br>
<a href="https://github.com/openai/openai-python/issues/676" class="inline-onebox" rel="noopener nofollow ugc">v1.0 drops embeddings_util.py breaking semantic text search · Issue #676 · openai/openai-python · GitHub</a>.<br>
This essentially breaks the semantic search needed for this importation.</p>
<p><em><strong>from utils.embeddings_utils import get_embedding</strong></em></p>
<p>which is used in the get embeddings from dataset cookbook guide.</p>
<p>I’m a little bit lost since I’m trying it out for myself and I can’t seem to proceed. Are there any alternatives?</p> | 12 | 1 | 2647c322a3 | 10 | [
560422,
73688,
86237,
33594,
374368
] | null | I’ve been trying to follow along the documentation in the api and it lead me me to here.
[Get embeddings from dataset | OpenAI Cookbook](https://cookbook.openai.com/examples/get_embeddings_from_dataset)
However, it seems that embeddings\_utils.py was dropped according to here:
[v1.0 drops embeddings\_util.py breaking semantic text search · Issue #676 · openai/openai-python · GitHub](https://github.com/openai/openai-python/issues/676).
This essentially breaks the semantic search needed for this importation.
***from utils.embeddings\_utils import get\_embedding***
which is used in the get embeddings from dataset cookbook guide.
I’m a little bit lost since I’m trying it out for myself and I can’t seem to proceed. Are there any alternatives?
| api | neutral | 0.822841 | [
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/895907 | Embeddings (2) | Embeddings (6) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 895,969 | 2024-02-27T06:02:47.290Z | <p>Yes the embedding_utils has been removed from the latest version.</p>
<p>You can download the <a href="https://openai/openai-cookbook/blob/main/examples/utils/embeddings_utils.py">embedding_utils.py</a> file from cookbook directly and import all the utils the code uses from there.</p> | 14 | 1 | e5f957560a | 11 | [
560422,
73688,
86237,
33594,
374368
] | null | Yes the embedding\_utils has been removed from the latest version.
You can download the [embedding\_utils.py](https://openai/openai-cookbook/blob/main/examples/utils/embeddings_utils.py) file from cookbook directly and import all the utils the code uses from there.
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/895969 | Embeddings (2) | Embeddings (6) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 896,047 | 2024-02-27T06:51:14.531Z | <p>As of today, OpenAI hasn’t been able to answer accurately from excel files. We have tested it for multiple customers at Kommunicate. We have come up with a solution using Pandas AI library.<br>
There are multiple ways to solve it:</p>
<ol>
<li>Convert the user input to a filter criteria and then run it against the excel sheet</li>
<li>Directly use Pandas AI library which internally uses some prompts to generate python code to get the answers. Based on our research its almost near to accurate answers.</li>
</ol>
<p>Flow for <span class="hashtag-raw">#1</span> Approach<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/a/d/7/ad7eb7a183262114136ebaa3e7b6817d6587a2ac.jpeg" data-download-href="/uploads/short-url/oKO5LmZnRstaEHjBmmPJQz967Fy.jpeg?dl=1" title="IMG_20240125_220741" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/optimized/4X/a/d/7/ad7eb7a183262114136ebaa3e7b6817d6587a2ac_2_666x500.jpeg" alt="IMG_20240125_220741" data-base62-sha1="oKO5LmZnRstaEHjBmmPJQz967Fy" width="666" height="500" srcset="https://global.discourse-cdn.com/openai1/optimized/4X/a/d/7/ad7eb7a183262114136ebaa3e7b6817d6587a2ac_2_666x500.jpeg, https://global.discourse-cdn.com/openai1/optimized/4X/a/d/7/ad7eb7a183262114136ebaa3e7b6817d6587a2ac_2_999x750.jpeg 1.5x, https://global.discourse-cdn.com/openai1/optimized/4X/a/d/7/ad7eb7a183262114136ebaa3e7b6817d6587a2ac_2_1332x1000.jpeg 2x" data-dominant-color="878584"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">IMG_20240125_220741</span><span class="informations">4000×3000 254 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br>
Alternatively you can use our product Kommunicate to achieve the same</p> | 14 | 0 | 166074d24f | 12 | [
560422,
73688,
86237,
33594,
374368
] | null | As of today, OpenAI hasn’t been able to answer accurately from excel files. We have tested it for multiple customers at Kommunicate. We have come up with a solution using Pandas AI library.
There are multiple ways to solve it:
1. Convert the user input to a filter criteria and then run it against the excel sheet
2. Directly use Pandas AI library which internally uses some prompts to generate python code to get the answers. Based on our research its almost near to accurate answers.
Flow for #1 Approach
[IMG\_20240125\_2207414000×3000 254 KB](https://global.discourse-cdn.com/openai1/original/4X/a/d/7/ad7eb7a183262114136ebaa3e7b6817d6587a2ac.jpeg "IMG_20240125_220741")
Alternatively you can use our product Kommunicate to achieve the same
| api | neutral | 0.585733 | [
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/896047 | OpenAI (2) | Embeddings (6) |
654,771 | [
"lost-user"
] | Creating a Chat Bot which allows user to upload excel files as training data | "2024-02-26T07:44:16.135000Z" | 7 | 258 | 7 | 17 | 5 | 719 | 896,224 | 2024-02-27T08:49:39.478Z | <p>If so, then does that mean that the documentation is outdated? I’ll give your suggestion a try! Right now, my chatbot is working in my terminal after trying out <a class="mention" href="/u/jr.2509">@jr.2509</a> given suggestion on the openai cookbook.</p> | 9 | 0 | 2647c322a3 | 13 | [
560422,
73688,
86237,
33594,
374368
] | null | If so, then does that mean that the documentation is outdated? I’ll give your suggestion a try! Right now, my chatbot is working in my terminal after trying out [@jr.2509](/u/jr.2509) given suggestion on the openai cookbook.
| api | neutral | 0.758336 | [
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] | lost-user | null | null | null | https://community.openai.com/t/654771 | https://community.openai.com/p/896224 | ChatGPT | Miscellaneous (27) |
656,658 | [
"gpt-4",
"api",
"assistants-api",
"assistants",
"performance"
] | Looking for ideas to improve OpenAI Assistant performance | "2024-02-27T08:47:13.586000Z" | 7 | 50 | 0 | 0 | 1 | 136 | 896,222 | 2024-02-27T08:47:13.665Z | <p>Hello OpenAI community!</p>
<ul>
<li>Objective: Improve overall OpenAI Assistant performance in a specific topic</li>
</ul>
<p>I use the OpenAI assistant. Yet, I’m excited to find ways to improve its performance, I’m asking the community for ideas and suggestions to improve it.<br>
Idea <img src="https://emoji.discourse-cdn.com/twitter/bulb.png?v=12" title=":bulb:" class="emoji" alt=":bulb:" loading="lazy" width="20" height="20"> : i’m working on a project that uses open ai assistant to convert natural language to SQL query to execute it in a specific and private database “text-to-sql”</p>
<ul>
<li>Idea I’m thinking of:
<ul>
<li>working with function in tools and pass function for testing if the SQL query that generate can execute in specific databases, and in I can pass demo database that I’m working as file.</li>
</ul>
</li>
</ul>
<p>help me with:</p>
<ul>
<li>Sharing your experiences with using the OpenAI Assistant.</li>
<li>Propose ideas for improving its performance.</li>
<li>Discuss any workarounds or tweaks you’ve discovered.</li>
</ul> | 15 | 0 | 6f8d142ecf | 1 | [
654892,
535490,
582966,
549726,
622266
] | null | Hello OpenAI community!
* Objective: Improve overall OpenAI Assistant performance in a specific topic
I use the OpenAI assistant. Yet, I’m excited to find ways to improve its performance, I’m asking the community for ideas and suggestions to improve it.
Idea  : i’m working on a project that uses open ai assistant to convert natural language to SQL query to execute it in a specific and private database “text-to-sql”
* Idea I’m thinking of:
+ working with function in tools and pass function for testing if the SQL query that generate can execute in specific databases, and in I can pass demo database that I’m working as file.
help me with:
* Sharing your experiences with using the OpenAI Assistant.
* Propose ideas for improving its performance.
* Discuss any workarounds or tweaks you’ve discovered.
| api | positive | 0.931208 | [
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] | gpt-4 | api | assistants-api | assistants | https://community.openai.com/t/656658 | https://community.openai.com/p/896222 | OpenAI (2) | Embeddings (6) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 657,844 | 2023-11-10T10:24:36.827Z | <p>It has been 48 hours since I purchased credits and my dashboard shows none of the credits have been used, but the response from the API request is the following:</p>
<p>{<br>
“error”: {<br>
“message”: “You exceeded your current quota, please check your plan and billing details.”,<br>
“type”: “insufficient_quota”,<br>
“param”: null,<br>
“code”: “insufficient_quota”<br>
}<br>
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<p><div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/3X/c/c/cc52f93fd761c07cc99687260e41d14d738de5f3.png" data-download-href="/uploads/short-url/t9xaNrYCSYzOgbKmmf5bAKQ7Iiv.png?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/optimized/3X/c/c/cc52f93fd761c07cc99687260e41d14d738de5f3_2_496x500.png" alt="image" data-base62-sha1="t9xaNrYCSYzOgbKmmf5bAKQ7Iiv" width="496" height="500" srcset="https://global.discourse-cdn.com/openai1/optimized/3X/c/c/cc52f93fd761c07cc99687260e41d14d738de5f3_2_496x500.png, https://global.discourse-cdn.com/openai1/original/3X/c/c/cc52f93fd761c07cc99687260e41d14d738de5f3.png 1.5x, https://global.discourse-cdn.com/openai1/original/3X/c/c/cc52f93fd761c07cc99687260e41d14d738de5f3.png 2x" data-dominant-color="F9FBFB"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">557×561 18.7 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p> | 97 | 0 | 280001690a | 1 | [
537053,
339290,
510684,
345149,
569790
] | null | It has been 48 hours since I purchased credits and my dashboard shows none of the credits have been used, but the response from the API request is the following:
{
“error”: {
“message”: “You exceeded your current quota, please check your plan and billing details.”,
“type”: “insufficient\_quota”,
“param”: null,
“code”: “insufficient\_quota”
}
}
[image557×561 18.7 KB](https://global.discourse-cdn.com/openai1/original/3X/c/c/cc52f93fd761c07cc99687260e41d14d738de5f3.png "image")
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/657844 | Insufficient Quota | Tokenization (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 657,891 | 2023-11-10T10:40:45.184Z | <p>Head over to <a href="https://platform.openai.com/account/limits" class="inline-onebox" rel="noopener nofollow ugc">OpenAI Platform</a> and set the monthly budget for your account. It seems that right now it’s only $10.</p>
<p>If you receive error 429, this means that the server might be overloaded because you’ve sent too many requests. The solution is to apply a retry and backoff function to your code.</p> | 75 | 1 | c864021c8f | 2 | [
537053,
339290,
510684,
345149,
569790
] | null | Head over to [OpenAI Platform](https://platform.openai.com/account/limits) and set the monthly budget for your account. It seems that right now it’s only $10.
If you receive error 429, this means that the server might be overloaded because you’ve sent too many requests. The solution is to apply a retry and backoff function to your code.
| api/bugs | neutral | 0.840364 | [
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/657891 | Credit Platform | Tokenization (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 657,901 | 2023-11-10T10:43:47.570Z | <aside class="quote no-group" data-username="kevin6" data-post="2" data-topic="492350">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/kevin6/48/301_2.png" class="avatar"> kevin6:</div>
<blockquote>
<p>hly</p>
</blockquote>
</aside>
<p>Hey Kevin,</p>
<p>Thanks for the reply. I have set the budget at $50. I will add the retry and backoff function in the code and see if that works. I did test that out earlier, but I will try it again. What is the best way to go about implementing that?</p> | 72 | 1 | 280001690a | 3 | [
537053,
339290,
510684,
345149,
569790
] | null |
 kevin6:
>
> hly
>
>
>
Hey Kevin,
Thanks for the reply. I have set the budget at $50. I will add the retry and backoff function in the code and see if that works. I did test that out earlier, but I will try it again. What is the best way to go about implementing that?
| api/bugs | neutral | 0.862221 | [
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/657901 | Miscellaneous (5) | Miscellaneous (27) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 659,018 | 2023-11-10T16:32:08.174Z | <p>Take look at this:<br>
Nodejs:</p><aside class="onebox allowlistedgeneric" data-onebox-src="https://github.com/openai/openai-node#retries">
<header class="source">
<img src="https://github.githubassets.com/favicons/favicon.svg" class="site-icon" width="32" height="32">
<a href="https://github.com/openai/openai-node#retries" target="_blank" rel="noopener nofollow ugc">GitHub</a>
</header>
<article class="onebox-body">
<div class="aspect-image" style="--aspect-ratio:690/362;"><img src="https://global.discourse-cdn.com/openai1/optimized/3X/8/0/80ad9461dec6dc824841bed57b511826d2ce10f0_2_690x362.png" class="thumbnail" data-dominant-color="080D08" width="690" height="362"></div>
<h3><a href="https://github.com/openai/openai-node#retries" target="_blank" rel="noopener nofollow ugc">GitHub - openai/openai-node: The official Node.js / Typescript library for...</a></h3>
<p>The official Node.js / Typescript library for the OpenAI API - GitHub - openai/openai-node: The official Node.js / Typescript library for the OpenAI API</p>
</article>
<div class="onebox-metadata">
</div>
<div style="clear: both"></div>
</aside>
<p><a href="https://help.openai.com/en/?q=429" class="onebox" target="_blank" rel="noopener nofollow ugc">https://help.openai.com/en/?q=429</a></p> | 65 | 1 | c864021c8f | 4 | [
537053,
339290,
510684,
345149,
569790
] | null | Take look at this:
Nodejs:
[GitHub](https://github.com/openai/openai-node#retries)
### [GitHub - openai/openai-node: The official Node.js / Typescript library for...](https://github.com/openai/openai-node#retries)
The official Node.js / Typescript library for the OpenAI API - GitHub - openai/openai-node: The official Node.js / Typescript library for the OpenAI API
<https://help.openai.com/en/?q=429>
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/659018 | GitHub | Miscellaneous (27) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 659,144 | 2023-11-10T17:05:40.370Z | <p>So I set the maxRetries to 0 and it didn’t help. I did some searching and found out that it might be because of the stripe payment integration that OpenAI has. I don’t think any change to my code would help, because it is a simple function.</p>
<p>Even with postman I get the same response. It is just on OpenAI’s side. It is probably an issue in their backend.</p> | 60 | 1 | 280001690a | 5 | [
537053,
339290,
510684,
345149,
569790
] | null | So I set the maxRetries to 0 and it didn’t help. I did some searching and found out that it might be because of the stripe payment integration that OpenAI has. I don’t think any change to my code would help, because it is a simple function.
Even with postman I get the same response. It is just on OpenAI’s side. It is probably an issue in their backend.
| api/bugs | negative | 0.856319 | [
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/659144 | Insufficient Quota | Tokenization (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 659,176 | 2023-11-10T17:14:54.675Z | <p>I don’t think so, It’s just bad practice that openai would sync usage requests with strip.</p>
<ul>
<li>Try change your IP address.</li>
<li>It might be because of this message: Periodic outages across ChatGPT and API. <a href="https://status.openai.com/incidents/21vl32gvx3hb" class="inline-onebox" rel="noopener nofollow ugc">OpenAI Status - Periodic outages across ChatGPT and API</a></li>
<li>Email <a href="mailto:support@openai.com">support@openai.com</a></li>
</ul> | 59 | 1 | c864021c8f | 6 | [
537053,
339290,
510684,
345149,
569790
] | null | I don’t think so, It’s just bad practice that openai would sync usage requests with strip.
* Try change your IP address.
* It might be because of this message: Periodic outages across ChatGPT and API. [OpenAI Status - Periodic outages across ChatGPT and API](https://status.openai.com/incidents/21vl32gvx3hb)
* Email [support@openai.com](mailto:support@openai.com)
| api/bugs | negative | 0.800462 | [
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/659176 | Miscellaneous (22) | API (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 659,491 | 2023-11-10T18:42:22.919Z | <p>I reached out to support and they said “thanks for the bug report”. I also posted it on github, but no one on github replied yet.</p> | 54 | 1 | 280001690a | 7 | [
537053,
339290,
510684,
345149,
569790
] | null | I reached out to support and they said “thanks for the bug report”. I also posted it on github, but no one on github replied yet.
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/659491 | Miscellaneous (24) | API (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 659,530 | 2023-11-10T18:54:33.153Z | <p>It looks like you’re in a monthly payment plan, have been billed at the end of the month before. Haven’t used any API.</p>
<p>This is the link that shows your current credit balance. Or shows your increasing pending invoice if you are on a monthly bill plan.</p>
<p><a href="https://platform.openai.com/account/billing/overview">https://platform.openai.com/account/billing/overview</a></p>
<p>If it shows <em>"You’ll be billed at the end of each calendar month for usage during that month.</em>" then the only thing that should hold you back is your billing limits, click usage limits there to see if you set a hard limit.</p>
<p>One thing that may stop you is that to some accounts like mine they recently added a different second organization out of the blue. Go to API keys, and at the bottom, make sure your original organization is selected and not a new one with nothing going on.</p>
<p>At the very bottom of the bar you click on your name icon, you’ll get a pop-up where you can switch organizations.</p> | 53 | 1 | b368833582 | 8 | [
537053,
339290,
510684,
345149,
569790
] | null | It looks like you’re in a monthly payment plan, have been billed at the end of the month before. Haven’t used any API.
This is the link that shows your current credit balance. Or shows your increasing pending invoice if you are on a monthly bill plan.
<https://platform.openai.com/account/billing/overview>
If it shows *"You’ll be billed at the end of each calendar month for usage during that month.*" then the only thing that should hold you back is your billing limits, click usage limits there to see if you set a hard limit.
One thing that may stop you is that to some accounts like mine they recently added a different second organization out of the blue. Go to API keys, and at the bottom, make sure your original organization is selected and not a new one with nothing going on.
At the very bottom of the bar you click on your name icon, you’ll get a pop-up where you can switch organizations.
| api/bugs | neutral | 0.63322 | [
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/659530 | Credit Platform | Tokenization (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 659,585 | 2023-11-10T19:08:46.030Z | <p>Thank you! You were right. I had the API key under ‘personal’, but I bought the credits with my student account.</p>
<p>Thank you my problem has been solved.</p> | 46 | 0 | 280001690a | 9 | [
537053,
339290,
510684,
345149,
569790
] | null | Thank you! You were right. I had the API key under ‘personal’, but I bought the credits with my student account.
Thank you my problem has been solved.
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/659585 | API Management | API (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 777,895 | 2023-12-29T14:36:04.706Z | <p>I tried so hard to fix this only to find out that free credits expire after few months.</p> | 32 | 0 | c0aea9b0e5 | 10 | [
537053,
339290,
510684,
345149,
569790
] | null | I tried so hard to fix this only to find out that free credits expire after few months.
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/777895 | Credit Accounts | Payment (4) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 874,182 | 2024-02-19T11:16:34.950Z | <p>I had the same problem, and API keys was also under ‘Personal’. In my case I had to choose ‘Personal’ again, beacuse there were no other option in my case. But it helped:)</p> | 21 | 0 | 0ceca80849 | 11 | [
537053,
339290,
510684,
345149,
569790
] | null | I had the same problem, and API keys was also under ‘Personal’. In my case I had to choose ‘Personal’ again, beacuse there were no other option in my case. But it helped:)
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/874182 | API Management | API (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 879,973 | 2024-02-20T23:03:36.699Z | <p>I am also having this issue, but in Python. Tried at different times on different days and no luck.</p>
<p>Edit: It worked just now. Guess the connection is inconsistent even on paid plans.</p> | 18 | 1 | 82a85aa32b | 12 | [
537053,
339290,
510684,
345149,
569790
] | null | I am also having this issue, but in Python. Tried at different times on different days and no luck.
Edit: It worked just now. Guess the connection is inconsistent even on paid plans.
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/879973 | Python Packages (2) | API (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 894,492 | 2024-02-26T14:41:05.282Z | <p>Encountered this issue today with the playground - so no external API calls involved.</p>
<p>Had a negative balance shown of USD 1,38 - despite having my credit card against it. And this never happend in the last months of usage. I then up’d my balance by 10 USD manually with the same CC - and an hour later it worked again.</p>
<p>If I give my CC details, I expect the service to work until I reach my limit. This is not a behavior I expect from a professional grade service.</p>
<p>If it matters, I had renewed my CC a week ago set the new CC as default.</p> | 7 | 0 | 13fb744d7a | 15 | [
537053,
339290,
510684,
345149,
569790
] | null | Encountered this issue today with the playground - so no external API calls involved.
Had a negative balance shown of USD 1,38 - despite having my credit card against it. And this never happend in the last months of usage. I then up’d my balance by 10 USD manually with the same CC - and an hour later it worked again.
If I give my CC details, I expect the service to work until I reach my limit. This is not a behavior I expect from a professional grade service.
If it matters, I had renewed my CC a week ago set the new CC as default.
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/894492 | Payment Issues | Payment (4) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 894,982 | 2024-02-26T19:01:29.751Z | <p>I was switched to Prepaid billing on February 20th. Today I bought $100 credits and I see them on my dashboard. I also set my monthly limit to $100.</p>
<p>Yet, right now I still get the message</p>
<blockquote>
<p>You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: <a href="https://platform.openai.com/docs/guides/error-codes/api-errors" rel="noopener nofollow ugc">https://platform.openai.com/docs/guides/error-codes/api-errors</a></p>
</blockquote>
<p>How long does it usually take for credits to become available?</p>
<p>cheers<br>
Oliver</p> | 5 | 2 | 5343f8ac8d | 16 | [
537053,
339290,
510684,
345149,
569790
] | null | I was switched to Prepaid billing on February 20th. Today I bought $100 credits and I see them on my dashboard. I also set my monthly limit to $100.
Yet, right now I still get the message
>
> You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: <https://platform.openai.com/docs/guides/error-codes/api-errors>
>
>
>
How long does it usually take for credits to become available?
cheers
Oliver
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/894982 | Credit Platform | Tokenization (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 895,001 | 2024-02-26T19:14:09.618Z | <p>Nevermind. After a few minutes it started working.</p> | 4 | 0 | 5343f8ac8d | 17 | [
537053,
339290,
510684,
345149,
569790
] | null | Nevermind. After a few minutes it started working.
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/895001 | Ubuntu Update | API (2) |
492,350 | [
"api"
] | 429 Error : insufficient_quota | "2023-11-10T10:24:36.769000Z" | 30 | 5,566 | 12 | 2 | 8 | 856 | 896,200 | 2024-02-27T08:35:19.470Z | <p>Thank you, that explains it. I also got the info, and they stated “no action is required from you at this time” - which was factually false.</p> | 3 | 0 | 13fb744d7a | 18 | [
537053,
339290,
510684,
345149,
569790
] | null | Thank you, that explains it. I also got the info, and they stated “no action is required from you at this time” - which was factually false.
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] | api | null | null | null | https://community.openai.com/t/492350 | https://community.openai.com/p/896200 | Application Approval | Payment (4) |
655,094 | [
"gpt-35-turbo",
"function-calling",
"json"
] | Function call not resulting in correct JSON object | "2024-02-26T11:27:22.042000Z" | 30 | 94 | 1 | 0 | 2 | 920 | 894,119 | 2024-02-26T11:27:22.110Z | <p>When using a function call on the gpt-3.5-turbo-0613 model I get an incorrect response format in the arguments property of the function. I recently added a “maxItems” property to the JSONSchema used to limit the amount of objects in the array which could be causing the issue but according to the docs this should be no issue.</p>
<p>I’ve also used the gpt-3.5-turbo-0125 model and here it seems that sometimes the function isn’t even used and a response is inserted into the content property of the message. Other times the array is way longer than 5 items.</p>
<p>Here is my request:</p>
<pre><code class="lang-auto">{
"messages": [
{
"role": "user",
"content": "Instruction ..."
}
],
"tool_choice": "auto",
"model": "gpt-3.5-turbo-0613",
"tools": [
{
"function": {
"name": "Get",
"description": "Get something",
"parameters": {
"type": "object",
"properties": {
"actions": {
"maxItems": 5,
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"input": {
"type": "string"
},
"type": {
"type": "string",
"enum": [
"a",
"b",
"c"
]
}
},
"required": [
"id",
"type",
"input"
]
}
}
}
}
},
"type": "function"
}
]
}
</code></pre>
<p>The response from the 0125 model with too many items :</p>
<pre><code class="lang-auto">{
"created": 1708946219,
"usage": {
"completion_tokens": 1296,
"prompt_tokens": 6972,
"total_tokens": 8268
},
"model": "gpt-3.5-turbo-0125",
"id": "chatcmpl-xxxx",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"role": "assistant",
"tool_calls": [
{
"function": {
"name": "Get",
"arguments": "{\"actions\":[{\"id\":\"0.0.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.8\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.9\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.10\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.11\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.12\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.13\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.14\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.15\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.16\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.17\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.18\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.19\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.20\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.21\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.22\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.23\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.0.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.1.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.1.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.1.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.1.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.2.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.2.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.2.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.2.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.3.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.3.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.3.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.3.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.4.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.4.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.4.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.4.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.5.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.5.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.5.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.5.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.6.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.6.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.6.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.6.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.7.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0."
},
"id": "call_xxx",
"type": "function"
}
],
"content": null
},
"logprobs": null
}
],
"system_fingerprint": "xx",
"object": "chat.completion"
}
</code></pre>
<p>Is anybody experiencing the same issue? Any help is greatly appreciated.</p> | 18 | 0 | 69c4ba170e | 1 | [
602956,
563782,
496504,
452611,
272803
] | null | When using a function call on the gpt-3.5-turbo-0613 model I get an incorrect response format in the arguments property of the function. I recently added a “maxItems” property to the JSONSchema used to limit the amount of objects in the array which could be causing the issue but according to the docs this should be no issue.
I’ve also used the gpt-3.5-turbo-0125 model and here it seems that sometimes the function isn’t even used and a response is inserted into the content property of the message. Other times the array is way longer than 5 items.
Here is my request:
```
{
"messages": [
{
"role": "user",
"content": "Instruction ..."
}
],
"tool_choice": "auto",
"model": "gpt-3.5-turbo-0613",
"tools": [
{
"function": {
"name": "Get",
"description": "Get something",
"parameters": {
"type": "object",
"properties": {
"actions": {
"maxItems": 5,
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"input": {
"type": "string"
},
"type": {
"type": "string",
"enum": [
"a",
"b",
"c"
]
}
},
"required": [
"id",
"type",
"input"
]
}
}
}
}
},
"type": "function"
}
]
}
```
The response from the 0125 model with too many items :
```
{
"created": 1708946219,
"usage": {
"completion_tokens": 1296,
"prompt_tokens": 6972,
"total_tokens": 8268
},
"model": "gpt-3.5-turbo-0125",
"id": "chatcmpl-xxxx",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"role": "assistant",
"tool_calls": [
{
"function": {
"name": "Get",
"arguments": "{\"actions\":[{\"id\":\"0.0.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.8\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.9\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.10\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.11\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.12\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.13\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.14\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.15\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.16\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.17\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.18\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.19\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.20\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.21\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.22\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.0.23\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.0.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.1.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.1.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.1.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.1.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.2.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.2.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.2.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.2.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.3.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.3.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.3.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.3.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.4.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.4.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.4.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.4.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.5.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.5.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.5.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.5.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.6.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.6.1\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.6.2\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.6.3\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0.0.7.0\",\"input\":\"a\",\"type\":\"a\"},{\"id\":\"0.1.0.0.4.0.0."
},
"id": "call_xxx",
"type": "function"
}
],
"content": null
},
"logprobs": null
}
],
"system_fingerprint": "xx",
"object": "chat.completion"
}
```
Is anybody experiencing the same issue? Any help is greatly appreciated.
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0.025698213,
0.023112936,
-0.02628833,
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0.0006261217,
-0.005096789,
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0.023646852,
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0.0302927,
-0.049035955,
-0.083290875,
-0.013326821,
-0.018616803
] | gpt-35-turbo | function-calling | json | null | https://community.openai.com/t/655094 | https://community.openai.com/p/894119 | Python Programming | Artificial Intelligence |
655,094 | [
"gpt-35-turbo",
"function-calling",
"json"
] | Function call not resulting in correct JSON object | "2024-02-26T11:27:22.042000Z" | 30 | 94 | 1 | 0 | 2 | 920 | 894,327 | 2024-02-26T13:15:35.881Z | <p>With an identical request but removing the maxItems works 80% out of the times and then suddenly returns a response without a tool_calls property:</p>
<pre><code class="lang-auto">{
"created": 1708952494,
"usage": {
"completion_tokens": 268,
"prompt_tokens": 1609,
"total_tokens": 1877
},
"model": "gpt-3.5-turbo-0613",
"id": "chatcmpl-xxx",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"role": "assistant",
"content": "Based on the available ...."
},
"logprobs": null
}
],
"system_fingerprint": null,
"object": "chat.completion"
}
</code></pre> | 12 | 0 | 69c4ba170e | 2 | [
602956,
563782,
496504,
452611,
272803
] | null | With an identical request but removing the maxItems works 80% out of the times and then suddenly returns a response without a tool\_calls property:
```
{
"created": 1708952494,
"usage": {
"completion_tokens": 268,
"prompt_tokens": 1609,
"total_tokens": 1877
},
"model": "gpt-3.5-turbo-0613",
"id": "chatcmpl-xxx",
"choices": [
{
"finish_reason": "stop",
"index": 0,
"message": {
"role": "assistant",
"content": "Based on the available ...."
},
"logprobs": null
}
],
"system_fingerprint": null,
"object": "chat.completion"
}
```
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] | gpt-35-turbo | function-calling | json | null | https://community.openai.com/t/655094 | https://community.openai.com/p/894327 | Completion | Embeddings (6) |
655,094 | [
"gpt-35-turbo",
"function-calling",
"json"
] | Function call not resulting in correct JSON object | "2024-02-26T11:27:22.042000Z" | 30 | 94 | 1 | 0 | 2 | 920 | 894,865 | 2024-02-26T17:47:07.308Z | <p>From the docs:<br>
If you want to force the model to call a specific function you can do so by setting <a href="https://platform.openai.com/docs/api-reference/chat/create#chat-create-tool_choice" rel="noopener nofollow ugc"><code>tool_choice</code></a> with a specific function name.</p>
<p>Also, trying putting something about your 5 item limit, in the dunction fdescription, not jus t rely on the max items property,</p> | 9 | 1 | d9be692ccf | 3 | [
602956,
563782,
496504,
452611,
272803
] | null | From the docs:
If you want to force the model to call a specific function you can do so by setting [`tool_choice`](https://platform.openai.com/docs/api-reference/chat/create#chat-create-tool_choice) with a specific function name.
Also, trying putting something about your 5 item limit, in the dunction fdescription, not jus t rely on the max items property,
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] | gpt-35-turbo | function-calling | json | null | https://community.openai.com/t/655094 | https://community.openai.com/p/894865 | Functions (4) | Embeddings (6) |
655,094 | [
"gpt-35-turbo",
"function-calling",
"json"
] | Function call not resulting in correct JSON object | "2024-02-26T11:27:22.042000Z" | 30 | 94 | 1 | 0 | 2 | 920 | 896,196 | 2024-02-27T08:33:16.974Z | <p>Thanks, I will try this.<br>
I had a look at this parameter but I misinterpreted the text <img src="https://emoji.discourse-cdn.com/twitter/sweat_smile.png?v=12" title=":sweat_smile:" class="emoji" alt=":sweat_smile:" loading="lazy" width="20" height="20"></p> | 6 | 0 | 69c4ba170e | 4 | [
602956,
563782,
496504,
452611,
272803
] | null | Thanks, I will try this.
I had a look at this parameter but I misinterpreted the text 
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656,578 | [
"vercel"
] | Weird bug from chat.completions.create() when called through vercel SDK | "2024-02-27T07:38:01.217000Z" | 30 | 36 | 0 | 0 | 1 | 375 | 896,118 | 2024-02-27T07:38:01.307Z | <p>Hi,</p>
<p>I’m getting a weird bug from chat.completions.create() when called through vercel SDK</p>
<p>Here is my server side code (stream-chat.js)</p>
<pre><code class="lang-auto">// Import OpenAI from the 'openai' package as per the documentation
import OpenAI from 'openai';
import { OpenAIStream, StreamingTextResponse } from 'ai';
// Hardcoded OpenAI API client configuration for testing
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY, // Ensure to replace with your actual API key
});
// IMPORTANT! Set the runtime to edge
export const runtime = 'edge';
// Handler function for the API route
export default async function handler(req, res) {
console.log('Handler invoked with method:', req.method);
if (req.method === 'POST') {
console.log('Handling POST request');
const { messages } = req.body; // Get messages from the request body
console.log('Message received from client:', messages); // Log the message received from client
try {
console.log('Creating chat completion');
const response = await openai.chat.completions.create({
model: 'gpt-3.5-turbo',
stream: true,
messages: messages,
});
console.log('Response from OpenAI:', response); // Log the response from OpenAI
console.log(response.choices[0].message);
for await (const part of stream) {
console.log(part.choices[0].delta);}
console.log('Chat completion created, streaming response');
const stream = OpenAIStream(response);
console.log('Streaming response:', stream); // Log the streaming response
// Send the stream as the response
res.status(200).send(new StreamingTextResponse(stream));
console.log('Response sent');
} catch (error) {
console.error('Error encountered:', error); // Log detailed error
res.status(500).json({ error: error.message });
}
} else {
console.log('Non-POST request received, method:', req.method);
res.setHeader('Allow', ['POST']);
res.status(405).end(`Method ${req.method} Not Allowed`);
}
}
</code></pre>
<p>I got 200 OK in vercel but the logs say</p>
<p>Handler invoked with method: POST<br>
Handling POST request<br>
Message received from client: [ { role: ‘user’, content: ‘Is AI good or bad to Humanity?’ } ]<br>
Creating chat completion<br>
Response from OpenAI: Stream {<br>
iterator: [AsyncGeneratorFunction: iterator],<br>
controller: AbortController { signal: AbortSignal { aborted: false } }<br>
}<br>
Chat completion created, streaming response<br>
Streaming response: ReadableStream { locked: false, state: ‘readable’, supportsBYOB: false }<br>
Response sent</p>
<p>I intentionally gave a wrong API key to check if the issue is pre-authentication or post-authentication. It gave same error even with the wrong API key, so it looks like the issue is pre-authentication.</p>
<p>Does anyone know what this error is and how to fix it? <img src="https://emoji.discourse-cdn.com/twitter/pray.png?v=12" title=":pray:" class="emoji" alt=":pray:" loading="lazy" width="20" height="20"></p>
<p>Thanks a ton!</p> | 7 | 0 | 0cd0e01267 | 1 | [
137681,
460938,
633587,
279977,
410721
] | null | Hi,
I’m getting a weird bug from chat.completions.create() when called through vercel SDK
Here is my server side code (stream-chat.js)
```
// Import OpenAI from the 'openai' package as per the documentation
import OpenAI from 'openai';
import { OpenAIStream, StreamingTextResponse } from 'ai';
// Hardcoded OpenAI API client configuration for testing
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY, // Ensure to replace with your actual API key
});
// IMPORTANT! Set the runtime to edge
export const runtime = 'edge';
// Handler function for the API route
export default async function handler(req, res) {
console.log('Handler invoked with method:', req.method);
if (req.method === 'POST') {
console.log('Handling POST request');
const { messages } = req.body; // Get messages from the request body
console.log('Message received from client:', messages); // Log the message received from client
try {
console.log('Creating chat completion');
const response = await openai.chat.completions.create({
model: 'gpt-3.5-turbo',
stream: true,
messages: messages,
});
console.log('Response from OpenAI:', response); // Log the response from OpenAI
console.log(response.choices[0].message);
for await (const part of stream) {
console.log(part.choices[0].delta);}
console.log('Chat completion created, streaming response');
const stream = OpenAIStream(response);
console.log('Streaming response:', stream); // Log the streaming response
// Send the stream as the response
res.status(200).send(new StreamingTextResponse(stream));
console.log('Response sent');
} catch (error) {
console.error('Error encountered:', error); // Log detailed error
res.status(500).json({ error: error.message });
}
} else {
console.log('Non-POST request received, method:', req.method);
res.setHeader('Allow', ['POST']);
res.status(405).end(`Method ${req.method} Not Allowed`);
}
}
```
I got 200 OK in vercel but the logs say
Handler invoked with method: POST
Handling POST request
Message received from client: [ { role: ‘user’, content: ‘Is AI good or bad to Humanity?’ } ]
Creating chat completion
Response from OpenAI: Stream {
iterator: [AsyncGeneratorFunction: iterator],
controller: AbortController { signal: AbortSignal { aborted: false } }
}
Chat completion created, streaming response
Streaming response: ReadableStream { locked: false, state: ‘readable’, supportsBYOB: false }
Response sent
I intentionally gave a wrong API key to check if the issue is pre-authentication or post-authentication. It gave same error even with the wrong API key, so it looks like the issue is pre-authentication.
Does anyone know what this error is and how to fix it? 
Thanks a ton!
| api/bugs | neutral | 0.624625 | [
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] | vercel | null | null | null | https://community.openai.com/t/656578 | https://community.openai.com/p/896118 | Error Handling | Embeddings (6) |
656,537 | [
"api",
"gpt-35-turbo"
] | How to suppress "If you have any other questions or need further assistance, feel free to ask!" messages? | "2024-02-27T07:05:43.172000Z" | 7 | 41 | 0 | 1 | 1 | 44 | 896,069 | 2024-02-27T07:05:43.237Z | <p>Hi all!, I am building a user context based chatbox using OpenAI API Beta (Assistants, Threads, etc.). I wonder how I can suppress “If you have any other questions or need further assistance, feel free to ask!” type of endings in responses I get?</p> | 14 | 0 | fff7db043c | 1 | [
517084,
307929,
464993,
42965,
608788
] | null | Hi all!, I am building a user context based chatbox using OpenAI API Beta (Assistants, Threads, etc.). I wonder how I can suppress “If you have any other questions or need further assistance, feel free to ask!” type of endings in responses I get?
| api | neutral | 0.785198 | [
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] | api | gpt-35-turbo | null | null | https://community.openai.com/t/656537 | https://community.openai.com/p/896069 | Chatbot (3) | Embeddings (6) |
656,477 | [
"api"
] | Unable to generate response, API returns quota error | "2024-02-27T06:17:42.917000Z" | 30 | 37 | 0 | 1 | 2 | 140 | 895,989 | 2024-02-27T06:17:42.992Z | <p>When the API reaches the hard limit set in the account, it returns a Quota error.</p>
<blockquote>
<p>You’ve reached your usage limit. See your <a href="https://platform.openai.com/account/usage">usage dashboard</a> and <a href="https://platform.openai.com/account/billing">billing settings</a> for more details. If you have further questions, please contact us through our help center at <a href="http://help.openai.com">help.openai.com</a>.</p>
</blockquote>
<p>This is a feature, not a bug.</p>
<p>The issue arises when you attempt to resolve this by increasing the quota, as the API keys don’t begin to function immediately.</p>
<p>A temporary solution is to create a new API key, which will start working instantly.</p>
<p>I hope OpenAI addresses this issue, as it can cause significant downtime in production applications.</p> | 6 | 0 | 6ce20c97c9 | 1 | [
345149,
648793,
173043,
567740,
330063
] | null | When the API reaches the hard limit set in the account, it returns a Quota error.
>
> You’ve reached your usage limit. See your [usage dashboard](https://platform.openai.com/account/usage) and [billing settings](https://platform.openai.com/account/billing) for more details. If you have further questions, please contact us through our help center at [help.openai.com](http://help.openai.com).
>
>
>
This is a feature, not a bug.
The issue arises when you attempt to resolve this by increasing the quota, as the API keys don’t begin to function immediately.
A temporary solution is to create a new API key, which will start working instantly.
I hope OpenAI addresses this issue, as it can cause significant downtime in production applications.
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] | api | null | null | null | https://community.openai.com/t/656477 | https://community.openai.com/p/895989 | Insufficient Quota | Tokenization (2) |
656,477 | [
"api"
] | Unable to generate response, API returns quota error | "2024-02-27T06:17:42.917000Z" | 30 | 37 | 0 | 1 | 2 | 140 | 896,068 | 2024-02-27T07:05:34.383Z | <p>Just FYI, likely related, API keys also aren’t immediately invalidated. (At least they weren’t a few months back.)</p> | 5 | 0 | ae7a0d8db8 | 2 | [
345149,
648793,
173043,
567740,
330063
] | null | Just FYI, likely related, API keys also aren’t immediately invalidated. (At least they weren’t a few months back.)
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] | api | null | null | null | https://community.openai.com/t/656477 | https://community.openai.com/p/896068 | API Management | API (2) |
656,456 | [
"api"
] | Assistant run remains queued for a long time, or will not resolve | "2024-02-27T05:57:00.393000Z" | 30 | 42 | 0 | 1 | 1 | 63 | 895,963 | 2024-02-27T05:57:00.459Z | <p>Assistant run remains queued for a long time, or will not resolve, when I run “”“new_message = run_assistant(thread) “””</p>
<p>I saw this issue in the following thread [Assistant run remains queued for a long time](Issue 544443) This issue was marked resolved Dec 2023 ; however today is 2/2024 and intermittently when I run run_assistant(thread) the script is stuck, and will not terminate…</p> | 10 | 0 | ad70b1e3a3 | 1 | [
544637,
544346,
480162,
547875,
604362
] | null | Assistant run remains queued for a long time, or will not resolve, when I run “”“new\_message = run\_assistant(thread) “””
I saw this issue in the following thread [Assistant run remains queued for a long time](Issue 544443) This issue was marked resolved Dec 2023 ; however today is 2/2024 and intermittently when I run run\_assistant(thread) the script is stuck, and will not terminate…
| api/bugs | negative | 0.701592 | [
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] | api | null | null | null | https://community.openai.com/t/656456 | https://community.openai.com/p/895963 | Status Updates | API (2) |
655,508 | [
"gpt-4",
"api",
"competitor"
] | Mistral-Large versus GPT-4-Turbo? | "2024-02-26T15:49:43.155000Z" | 7 | 820 | 0 | 5 | 5 | 185 | 894,628 | 2024-02-26T15:49:43.216Z | <p>Mistral AI has just announced <a href="https://mistral.ai/news/mistral-large/?ref=upstract.com" rel="noopener nofollow ugc"> Mistral Large</a>, it’s new frontier model.</p>
<p>It’s still behind gpt-4 on every comparable benchmark that I’ve seen, but it’s also <a href="https://docs.mistral.ai/platform/pricing/" rel="noopener nofollow ugc">$0.008 per 1K input tokens and $0.024 per 1k output tokens</a>, making it 80% the cost of gpt-4-turbo.</p>
<p>If anyone gets the chance to test it out and compare against gpt-4 please share your results!</p> | 52 | 0 | aa1f894e02 | 1 | [
568027,
106192,
477757,
492781,
102866
] | null | Mistral AI has just announced [Mistral Large](https://mistral.ai/news/mistral-large/?ref=upstract.com), it’s new frontier model.
It’s still behind gpt-4 on every comparable benchmark that I’ve seen, but it’s also [$0.008 per 1K input tokens and $0.024 per 1k output tokens](https://docs.mistral.ai/platform/pricing/), making it 80% the cost of gpt-4-turbo.
If anyone gets the chance to test it out and compare against gpt-4 please share your results!
| api | neutral | 0.536237 | [
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] | gpt-4 | api | competitor | null | https://community.openai.com/t/655508 | https://community.openai.com/p/894628 | GPT Model Training | GPTs (4) |
655,508 | [
"gpt-4",
"api",
"competitor"
] | Mistral-Large versus GPT-4-Turbo? | "2024-02-26T15:49:43.155000Z" | 7 | 820 | 0 | 5 | 5 | 185 | 895,726 | 2024-02-27T03:13:11.793Z | <p>Is it available? I have a mistral acct and have been using mistral-medium for a couple months.</p>
<p>So far, I’ve not been able to make a successful API call to mistral-large-latest.<br>
.</p> | 33 | 0 | 9716394c2d | 2 | [
568027,
106192,
477757,
492781,
102866
] | null | Is it available? I have a mistral acct and have been using mistral-medium for a couple months.
So far, I’ve not been able to make a successful API call to mistral-large-latest.
.
| api | negative | 0.746574 | [
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] | gpt-4 | api | competitor | null | https://community.openai.com/t/655508 | https://community.openai.com/p/895726 | APIs | Embeddings (6) |
655,508 | [
"gpt-4",
"api",
"competitor"
] | Mistral-Large versus GPT-4-Turbo? | "2024-02-26T15:49:43.155000Z" | 7 | 820 | 0 | 5 | 5 | 185 | 895,767 | 2024-02-27T03:31:44.073Z | <p><div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/7/1/2/712195d1234827adf28a4fa3fd421d0778434bcc.png" data-download-href="/uploads/short-url/g8NUqGvDpJ8aRRh2f73Tn3nbhLK.png?dl=1" title="image"><img src="https://global.discourse-cdn.com/openai1/optimized/4X/7/1/2/712195d1234827adf28a4fa3fd421d0778434bcc_2_690x194.png" alt="image" data-base62-sha1="g8NUqGvDpJ8aRRh2f73Tn3nbhLK" width="690" height="194" srcset="https://global.discourse-cdn.com/openai1/optimized/4X/7/1/2/712195d1234827adf28a4fa3fd421d0778434bcc_2_690x194.png, https://global.discourse-cdn.com/openai1/original/4X/7/1/2/712195d1234827adf28a4fa3fd421d0778434bcc.png 1.5x, https://global.discourse-cdn.com/openai1/original/4X/7/1/2/712195d1234827adf28a4fa3fd421d0778434bcc.png 2x" data-dominant-color="F2F2F1"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1009×285 31.3 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>still waiting for a generation to be produced…looks like it is everything except online.</p> | 30 | 0 | b368833582 | 3 | [
568027,
106192,
477757,
492781,
102866
] | null | [image1009×285 31.3 KB](https://global.discourse-cdn.com/openai1/original/4X/7/1/2/712195d1234827adf28a4fa3fd421d0778434bcc.png "image")
still waiting for a generation to be produced…looks like it is everything except online.
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] | gpt-4 | api | competitor | null | https://community.openai.com/t/655508 | https://community.openai.com/p/895767 | Optimized Images | Miscellaneous (27) |
655,508 | [
"gpt-4",
"api",
"competitor"
] | Mistral-Large versus GPT-4-Turbo? | "2024-02-26T15:49:43.155000Z" | 7 | 820 | 0 | 5 | 5 | 185 | 895,800 | 2024-02-27T03:49:38.767Z | <p>(<br>
[message] => The upstream server is timing out<br>
[request_id] => 6729855dd5615e06afb5d17cdbf81861<br>
)</p> | 27 | 0 | 9716394c2d | 4 | [
568027,
106192,
477757,
492781,
102866
] | null | (
[message] => The upstream server is timing out
[request\_id] => 6729855dd5615e06afb5d17cdbf81861
)
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] | gpt-4 | api | competitor | null | https://community.openai.com/t/655508 | https://community.openai.com/p/895800 | Error Handling (2) | API (2) |
655,508 | [
"gpt-4",
"api",
"competitor"
] | Mistral-Large versus GPT-4-Turbo? | "2024-02-26T15:49:43.155000Z" | 7 | 820 | 0 | 5 | 5 | 185 | 895,812 | 2024-02-27T04:00:25.368Z | <p>It’s not just us.</p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/c/5/b/c5bdde22583305edcd3604a13947a738c3dae119.jpeg" data-download-href="/uploads/short-url/sdiQMGlS1MbNZYOlQJjwGHJt6gp.jpeg?dl=1" title="mistral-large timeout 2024-02-26_19-59-18" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/optimized/4X/c/5/b/c5bdde22583305edcd3604a13947a738c3dae119_2_690x274.jpeg" alt="mistral-large timeout 2024-02-26_19-59-18" data-base62-sha1="sdiQMGlS1MbNZYOlQJjwGHJt6gp" width="690" height="274" srcset="https://global.discourse-cdn.com/openai1/optimized/4X/c/5/b/c5bdde22583305edcd3604a13947a738c3dae119_2_690x274.jpeg, https://global.discourse-cdn.com/openai1/optimized/4X/c/5/b/c5bdde22583305edcd3604a13947a738c3dae119_2_1035x411.jpeg 1.5x, https://global.discourse-cdn.com/openai1/optimized/4X/c/5/b/c5bdde22583305edcd3604a13947a738c3dae119_2_1380x548.jpeg 2x" data-dominant-color="36373C"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">mistral-large timeout 2024-02-26_19-59-18</span><span class="informations">1453×578 77.1 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p> | 23 | 0 | 9716394c2d | 5 | [
568027,
106192,
477757,
492781,
102866
] | null | It’s not just us.
[mistral-large timeout 2024-02-26\_19-59-181453×578 77.1 KB](https://global.discourse-cdn.com/openai1/original/4X/c/5/b/c5bdde22583305edcd3604a13947a738c3dae119.jpeg "mistral-large timeout 2024-02-26_19-59-18")
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] | gpt-4 | api | competitor | null | https://community.openai.com/t/655508 | https://community.openai.com/p/895812 | Mexico | Payment (4) |
655,508 | [
"gpt-4",
"api",
"competitor"
] | Mistral-Large versus GPT-4-Turbo? | "2024-02-26T15:49:43.155000Z" | 7 | 820 | 0 | 5 | 5 | 185 | 895,821 | 2024-02-27T04:06:56.982Z | <p>Have a test here…</p>
<aside class="onebox allowlistedgeneric" data-onebox-src="https://openrouter.ai/models/mistralai/mistral-large">
<header class="source">
<img src="https://global.discourse-cdn.com/openai1/original/4X/0/4/7/0472e5c5d06e17ff174657e7b17b3cc29b6c0b7d.png" class="site-icon" data-dominant-color="94A3B8" width="48" height="48">
<a href="https://openrouter.ai/models/mistralai/mistral-large" target="_blank" rel="noopener nofollow ugc">openrouter.ai</a>
</header>
<article class="onebox-body">
<div class="aspect-image" style="--aspect-ratio:690/361;"><img src="https://global.discourse-cdn.com/openai1/original/4X/4/7/f/47f48a4bb273dac9e623cd2af94cf416dca36836.png" class="thumbnail" data-dominant-color="E7E8EF" width="690" height="362"></div>
<h3><a href="https://openrouter.ai/models/mistralai/mistral-large" target="_blank" rel="noopener nofollow ugc">Mistral: Mistral Large by mistralai | OpenRouter</a></h3>
<p>This is Mistral AI's closed-source, flagship model. It's powered by a closed-source prototype and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large/).
It is fluent in English,...</p>
</article>
<div class="onebox-metadata">
</div>
<div style="clear: both"></div>
</aside>
| 21 | 0 | b6dd6d953a | 6 | [
568027,
106192,
477757,
492781,
102866
] | null | Have a test here…
[openrouter.ai](https://openrouter.ai/models/mistralai/mistral-large)
### [Mistral: Mistral Large by mistralai | OpenRouter](https://openrouter.ai/models/mistralai/mistral-large)
This is Mistral AI's closed-source, flagship model. It's powered by a closed-source prototype and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large/).
It is fluent in English,...
| api | neutral | 0.83082 | [
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] | gpt-4 | api | competitor | null | https://community.openai.com/t/655508 | https://community.openai.com/p/895821 | Miscellaneous (12) | Artificial Intelligence |
655,508 | [
"gpt-4",
"api",
"competitor"
] | Mistral-Large versus GPT-4-Turbo? | "2024-02-26T15:49:43.155000Z" | 7 | 820 | 0 | 5 | 5 | 185 | 895,942 | 2024-02-27T05:38:20.659Z | <p>In waiting list. Looking for feedback. Thank you</p> | 17 | 0 | deab2366ae | 7 | [
568027,
106192,
477757,
492781,
102866
] | null | In waiting list. Looking for feedback. Thank you
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] | gpt-4 | api | competitor | null | https://community.openai.com/t/655508 | https://community.openai.com/p/895942 | Waitlist Management | Payment (4) |
544,073 | [
"api"
] | openai.NotFoundError: Error code 404, python cant find assistant | "2023-12-05T10:01:02.230000Z" | 7 | 1,610 | 0 | 2 | 2 | 170 | 730,787 | 2023-12-05T10:01:02.313Z | <p>I have copied my api key from playground and copied my assistants ID from the website so a spelling erorr is out of the question, ive even tried to make a new assitant and it had the same error for me. I use OpenAI version 1.37<br>
The problem is it acts as if the ai dosent exist. and it definiteley does. there is money on the account so it should work.</p>
<p>My code:<br>
from openai import OpenAI</p>
<p>client = OpenAI(api_key=“api key”)<br>
def ask_my_assistant(prompt):<br>
response = client.completions.create(model=“my assistant”, # Replace with your assistant’s ID<br>
prompt=prompt,<br>
max_tokens=150)<br>
return response.choices[0].text.strip()</p>
<h1><a name="example-usage-1" class="anchor" href="#example-usage-1"></a>Example usage</h1>
<p>response = ask_my_assistant(“Hello, how can I help you today?”)<br>
print(response)</p>
<p>I get this error:<br>
openai.NotFoundError: Error code: 404 - {‘error’: {‘message’: ‘The model <code>asst_xxxxxxxxxxxxxxxx</code> does not exist’, ‘type’: ‘invalid_request_error’, ‘param’: None, ‘code’: ‘model_not_found’}}</p> | 39 | 0 | 9e5dabce22 | 1 | [
563433,
522702,
549167,
593125,
562466
] | null | I have copied my api key from playground and copied my assistants ID from the website so a spelling erorr is out of the question, ive even tried to make a new assitant and it had the same error for me. I use OpenAI version 1.37
The problem is it acts as if the ai dosent exist. and it definiteley does. there is money on the account so it should work.
My code:
from openai import OpenAI
client = OpenAI(api\_key=“api key”)
def ask\_my\_assistant(prompt):
response = client.completions.create(model=“my assistant”, # Replace with your assistant’s ID
prompt=prompt,
max\_tokens=150)
return response.choices[0].text.strip()
Example usage
=============
response = ask\_my\_assistant(“Hello, how can I help you today?”)
print(response)
I get this error:
openai.NotFoundError: Error code: 404 - {‘error’: {‘message’: ‘The model `asst_xxxxxxxxxxxxxxxx` does not exist’, ‘type’: ‘invalid\_request\_error’, ‘param’: None, ‘code’: ‘model\_not\_found’}}
| api | negative | 0.486638 | [
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] | api | null | null | null | https://community.openai.com/t/544073 | https://community.openai.com/p/730787 | Python3 Packages | Miscellaneous (27) |
544,073 | [
"api"
] | openai.NotFoundError: Error code 404, python cant find assistant | "2023-12-05T10:01:02.230000Z" | 7 | 1,610 | 0 | 2 | 2 | 170 | 895,905 | 2024-02-27T05:09:05.577Z | <p>Was this ever resolved? I feel like I have everything nailed down but continued to get error as if the assistant does not exist.</p>
<p>Thanks</p> | 5 | 0 | cd9f33427d | 2 | [
563433,
522702,
549167,
593125,
562466
] | null | Was this ever resolved? I feel like I have everything nailed down but continued to get error as if the assistant does not exist.
Thanks
| api | negative | 0.676373 | [
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] | api | null | null | null | https://community.openai.com/t/544073 | https://community.openai.com/p/895905 | File Management (3) | Embeddings (6) |
656,302 | [] | Completion models are now considered legacy | "2024-02-27T03:36:33.598000Z" | 32 | 58 | 0 | 0 | 3 | 336 | 895,774 | 2024-02-27T03:36:33.660Z | <p><strong>Completion models are now considered legacy.</strong></p>
<p>When I am in the playground running tests with completion models and can’t help but notice this text on the bottom screen. Does that mean completion mode will be deprecated some time in the future to focus on chat solely? Are we being advised to migrate to chat mode some time down the line?</p> | 18 | 1 | 458d19dda1 | 1 | [
327675,
328801,
514851,
289539,
567018
] | null | **Completion models are now considered legacy.**
When I am in the playground running tests with completion models and can’t help but notice this text on the bottom screen. Does that mean completion mode will be deprecated some time in the future to focus on chat solely? Are we being advised to migrate to chat mode some time down the line?
| api/deprecations | neutral | 0.578526 | [
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] | null | null | null | null | https://community.openai.com/t/656302 | https://community.openai.com/p/895774 | Completion | Embeddings (6) |
656,302 | [] | Completion models are now considered legacy | "2024-02-27T03:36:33.598000Z" | 32 | 58 | 0 | 0 | 3 | 336 | 895,796 | 2024-02-27T03:47:46.650Z | <p>Welcome to the community!</p>
<aside class="quote no-group" data-username="uno544" data-post="1" data-topic="656302">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/uno544/48/146305_2.png" class="avatar"> uno544:</div>
<blockquote>
<p>Are we being advised to migrate to chat mode some time down the line?</p>
</blockquote>
</aside>
<p>It’s quite possible. While they’re still releasing new completion models like <code>gpt-3.5-turbo-instruct</code> (which isn’t legacy) - it’s quite possible that in the long run, they might be going away eventually, or simply not be as supported as the chat models <img src="https://emoji.discourse-cdn.com/twitter/confused.png?v=12" title=":confused:" class="emoji" alt=":confused:" loading="lazy" width="20" height="20"></p>
<p>I think it’s safe to assume that some open source model might become a drop-in replacement for gpt-3.5-turbo-instruct if it becomes deprecated - but I don’t know if we can expect active development of considerably stronger completion models. Maybe cheaper models, but maybe not stronger.</p>
<p>so, tl;dr: <a href="https://platform.openai.com/docs/models/gpt-3-5-turbo">gpt-3.5-turbo-instruct isn’t legacy yet</a>. but it looks like the industry is moving away from that <img src="https://emoji.discourse-cdn.com/twitter/frowning.png?v=12" title=":frowning:" class="emoji" alt=":frowning:" loading="lazy" width="20" height="20"></p> | 16 | 0 | 69bb4acfca | 2 | [
327675,
328801,
514851,
289539,
567018
] | null | Welcome to the community!
 uno544:
>
> Are we being advised to migrate to chat mode some time down the line?
>
>
>
It’s quite possible. While they’re still releasing new completion models like `gpt-3.5-turbo-instruct` (which isn’t legacy) - it’s quite possible that in the long run, they might be going away eventually, or simply not be as supported as the chat models 
I think it’s safe to assume that some open source model might become a drop-in replacement for gpt-3.5-turbo-instruct if it becomes deprecated - but I don’t know if we can expect active development of considerably stronger completion models. Maybe cheaper models, but maybe not stronger.
so, tl;dr: [gpt-3.5-turbo-instruct isn’t legacy yet](https://platform.openai.com/docs/models/gpt-3-5-turbo). but it looks like the industry is moving away from that 
| api/deprecations | neutral | 0.666472 | [
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] | null | null | null | null | https://community.openai.com/t/656302 | https://community.openai.com/p/895796 | Miscellaneous | GPTs (4) |
656,302 | [] | Completion models are now considered legacy | "2024-02-27T03:36:33.598000Z" | 32 | 58 | 0 | 0 | 3 | 336 | 895,806 | 2024-02-27T03:55:03.689Z | <p>From OpenAI:</p>
<blockquote>
<p>We use the term “legacy” to refer to models and endpoints that will no longer receive updates. We tag endpoints and models as legacy to signal to developers where we are moving as a platform and that they should likely migrate to newer models or endpoints. You can expect that a legacy model or endpoint will be deprecated at some point in the future.</p>
</blockquote>
<p>Then despite that clarification, “legacy” and deprecations" continue to be used inconsistently in other documentation, often with imagined meaning.</p>
<p>The completions endpoint at one point in time was “will be deprecated Jan 2024” - meaning shut off. But it is still here with a bit of backpedal and re-categorization into a new term.</p> | 16 | 0 | b368833582 | 3 | [
327675,
328801,
514851,
289539,
567018
] | null | From OpenAI:
>
> We use the term “legacy” to refer to models and endpoints that will no longer receive updates. We tag endpoints and models as legacy to signal to developers where we are moving as a platform and that they should likely migrate to newer models or endpoints. You can expect that a legacy model or endpoint will be deprecated at some point in the future.
>
>
>
Then despite that clarification, “legacy” and deprecations" continue to be used inconsistently in other documentation, often with imagined meaning.
The completions endpoint at one point in time was “will be deprecated Jan 2024” - meaning shut off. But it is still here with a bit of backpedal and re-categorization into a new term.
| api/deprecations | neutral | 0.816075 | [
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] | null | null | null | null | https://community.openai.com/t/656302 | https://community.openai.com/p/895806 | Models (2) | Miscellaneous (27) |
533,090 | [
"gpt-4-vision"
] | How to load a local image to gpt4 -vision using API | "2023-11-29T05:28:53.543000Z" | 7 | 6,846 | 2 | 0 | 4 | 1,124 | 715,559 | 2023-11-29T05:28:53.611Z | <p>I am not sure how to load a local image file to the gpt-4 vision.<br>
Can someone explain how to do it?</p>
<pre><code class="lang-auto">from openai import OpenAI
client = OpenAI()
import matplotlib.image as mpimg
img123 = mpimg.imread('img.png')
response = client.chat.completions.create(
model="gpt-4-vision-preview",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url" : "img123",
},
},
],
}
],
)
print(response.choices[0].message.content)
</code></pre> | 131 | 0 | e9ccf98e60 | 1 | [
516711,
492935,
590686,
484833,
586768
] | null | I am not sure how to load a local image file to the gpt-4 vision.
Can someone explain how to do it?
```
from openai import OpenAI
client = OpenAI()
import matplotlib.image as mpimg
img123 = mpimg.imread('img.png')
response = client.chat.completions.create(
model="gpt-4-vision-preview",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url" : "img123",
},
},
],
}
],
)
print(response.choices[0].message.content)
```
| api | neutral | 0.537709 | [
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] | gpt-4-vision | null | null | null | https://community.openai.com/t/533090 | https://community.openai.com/p/715559 | Image Processing | Miscellaneous (27) |
533,090 | [
"gpt-4-vision"
] | How to load a local image to gpt4 -vision using API | "2023-11-29T05:28:53.543000Z" | 7 | 6,846 | 2 | 0 | 4 | 1,124 | 715,568 | 2023-11-29T05:36:12.190Z | <p>I see that you are attempting to write a python script. I occasionally enjoy writing Python also.</p>
<aside class="quote quote-modified" data-post="5" data-topic="484833">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/_j/48/236251_2.png" class="avatar">
<a href="https://community.openai.com/t/im-sorry-i-cant-assist-with-these-requests-with-vision-api/484833/5">"I'm sorry, I can't assist with these requests." with Vision API</a> <a class="badge-category__wrapper " href="/c/api/7"><span data-category-id="7" data-drop-close="true" class="badge-category " title="Questions, feedback, and best practices around building with OpenAI’s API. Please read the API docs before posting."><span class="badge-category__name">API</span></span></a>
</div>
<blockquote>
Having OpenAI download images from a URL themselves is inherently problematic. They can be seen as an IP to block, and also, they respect and are overly concerned with robots.txt. Also the image URL can get served a html landing page or wrapper, and can depend on a login. And the image just might not be tolerated, like a webp in a png.
Here’s a script to submit your image file, and see if the AI reports problems. I enhanced for problem-solving. If solved, do your own image-grabbing or file serv…
</blockquote>
</aside>
<p>I hope that meets your needs and informs where next to go with your own endeavors.</p> | 124 | 0 | b368833582 | 2 | [
516711,
492935,
590686,
484833,
586768
] | null | I see that you are attempting to write a python script. I occasionally enjoy writing Python also.
["I'm sorry, I can't assist with these requests." with Vision API](https://community.openai.com/t/im-sorry-i-cant-assist-with-these-requests-with-vision-api/484833/5) [API](/c/api/7)
>
> Having OpenAI download images from a URL themselves is inherently problematic. They can be seen as an IP to block, and also, they respect and are overly concerned with robots.txt. Also the image URL can get served a html landing page or wrapper, and can depend on a login. And the image just might not be tolerated, like a webp in a png.
> Here’s a script to submit your image file, and see if the AI reports problems. I enhanced for problem-solving. If solved, do your own image-grabbing or file serv…
>
I hope that meets your needs and informs where next to go with your own endeavors.
| api | positive | 0.708526 | [
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] | gpt-4-vision | null | null | null | https://community.openai.com/t/533090 | https://community.openai.com/p/715568 | Image Processing | Miscellaneous (27) |
533,090 | [
"gpt-4-vision"
] | How to load a local image to gpt4 -vision using API | "2023-11-29T05:28:53.543000Z" | 7 | 6,846 | 2 | 0 | 4 | 1,124 | 724,073 | 2023-12-02T14:50:49.423Z | <p>import os</p>
<h1><a name="this-code-is-for-v1-of-the-openai-package-pypiorgprojectopenai-1" class="anchor" href="#this-code-is-for-v1-of-the-openai-package-pypiorgprojectopenai-1"></a>This code is for v1 of the openai package: <a href="http://pypi.org/project/openai" class="inline-onebox" rel="noopener nofollow ugc">openai · PyPI</a></h1>
<h1><a name="pip-install-openai-2" class="anchor" href="#pip-install-openai-2"></a>pip install openai</h1>
<h1><a name="pip-install-requests-3" class="anchor" href="#pip-install-requests-3"></a>pip install requests</h1>
<p>from openai import OpenAI<br>
import base64<br>
import requests</p>
<p>my_api_key = os.environ[“OPENAI_API_KEY”]</p>
<h1><a name="function-to-encode-the-image-4" class="anchor" href="#function-to-encode-the-image-4"></a>Function to encode the image</h1>
<p>def encode_image(image_path):<br>
with open(image_path, “rb”) as image_file:<br>
return base64.b64encode(image_file.read()).decode(‘utf-8’)</p>
<h1><a name="path-to-your-image-5" class="anchor" href="#path-to-your-image-5"></a>Path to your image</h1>
<p>image_path = “.\SourceImages\some_text.jpg”</p>
<h1><a name="getting-the-base64-string-6" class="anchor" href="#getting-the-base64-string-6"></a>Getting the base64 string</h1>
<p>base64_image = encode_image(image_path)</p>
<h1><a name="loads-a-local-image-file-and-ocrs-it-7" class="anchor" href="#loads-a-local-image-file-and-ocrs-it-7"></a>Loads a local image file and OCRs it.</h1>
<h1><a name="httpsplatformopenaicomdocsguidesvision-8" class="anchor" href="#httpsplatformopenaicomdocsguidesvision-8"></a><a href="https://platform.openai.com/docs/guides/vision" rel="noopener nofollow ugc">https://platform.openai.com/docs/guides/vision</a></h1>
<p>headers = {<br>
“Content-Type”: “application/json”,<br>
“Authorization”: f"Bearer {my_api_key}"<br>
}</p>
<p>payload = {<br>
“model”: “gpt-4-vision-preview”,<br>
“messages”: [<br>
{<br>
“role”: “user”,<br>
“content”: [<br>
{<br>
“type”: “text”,<br>
“text”: “What’s in this image?”<br>
},<br>
{<br>
“type”: “image_url”,<br>
“image_url”: {<br>
“url”: f"data:image/jpeg;base64,{base64_image}"<br>
}<br>
}<br>
]<br>
}<br>
],<br>
“max_tokens”: 300<br>
}</p>
<p>try:</p>
<pre><code>response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
print(response.json())
</code></pre>
<p>except Exception as ex:<br>
print(“Exception:”, ex)</p> | 110 | 1 | da3574bf10 | 3 | [
516711,
492935,
590686,
484833,
586768
] | null | import os
This code is for v1 of the openai package: [openai · PyPI](http://pypi.org/project/openai)
==========================================================================================
pip install openai
==================
pip install requests
====================
from openai import OpenAI
import base64
import requests
my\_api\_key = os.environ[“OPENAI\_API\_KEY”]
Function to encode the image
============================
def encode\_image(image\_path):
with open(image\_path, “rb”) as image\_file:
return base64.b64encode(image\_file.read()).decode(‘utf-8’)
Path to your image
==================
image\_path = “.\SourceImages\some\_text.jpg”
Getting the base64 string
=========================
base64\_image = encode\_image(image\_path)
Loads a local image file and OCRs it.
=====================================
<https://platform.openai.com/docs/guides/vision>
================================================
headers = {
“Content-Type”: “application/json”,
“Authorization”: f"Bearer {my\_api\_key}"
}
payload = {
“model”: “gpt-4-vision-preview”,
“messages”: [
{
“role”: “user”,
“content”: [
{
“type”: “text”,
“text”: “What’s in this image?”
},
{
“type”: “image\_url”,
“image\_url”: {
“url”: f"data:image/jpeg;base64,{base64\_image}"
}
}
]
}
],
“max\_tokens”: 300
}
try:
```
response = requests.post("https://api.openai.com/v1/chat/completions", headers=headers, json=payload)
print(response.json())
```
except Exception as ex:
print(“Exception:”, ex)
| api | neutral | 0.918058 | [
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0.10481283,
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0.027328027,
0.018712925,
-0.06569975,
0.007419981,
0.028350592,
0.05094926,
-0.008921873,
0.0070812567,
-0.0033904393,
0.018355027,
-0.022573104,
-0.019032476,
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] | gpt-4-vision | null | null | null | https://community.openai.com/t/533090 | https://community.openai.com/p/724073 | Image Processing | Miscellaneous (27) |
533,090 | [
"gpt-4-vision"
] | How to load a local image to gpt4 -vision using API | "2023-11-29T05:28:53.543000Z" | 7 | 6,846 | 2 | 0 | 4 | 1,124 | 893,317 | 2024-02-26T03:24:38.104Z | <p>How to perform a gpt-4-vision-preview prompt using the openai python module?</p>
<p>Here, the instructions for installing openai module were provided, but the OpenAI API call was made using curl (requests.post()). How to use an openai functon call to do so? Can not find any documentation on this. Thanks</p> | 9 | 1 | 99383d790c | 4 | [
516711,
492935,
590686,
484833,
586768
] | null | How to perform a gpt-4-vision-preview prompt using the openai python module?
Here, the instructions for installing openai module were provided, but the OpenAI API call was made using curl (requests.post()). How to use an openai functon call to do so? Can not find any documentation on this. Thanks
| api | neutral | 0.678575 | [
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] | gpt-4-vision | null | null | null | https://community.openai.com/t/533090 | https://community.openai.com/p/893317 | Image Processing | Miscellaneous (27) |
533,090 | [
"gpt-4-vision"
] | How to load a local image to gpt4 -vision using API | "2023-11-29T05:28:53.543000Z" | 7 | 6,846 | 2 | 0 | 4 | 1,124 | 895,797 | 2024-02-27T03:48:30.090Z | <p>In response to this post, I spent a good amount of time coming up with the uber-example of using the gpt-4-vision model to send local files.</p>
<p>Stuff that doesn’t work in vision, so stripped:</p>
<ul>
<li>functions</li>
<li>tools</li>
<li>logprobs</li>
<li>logit_bias</li>
</ul>
<p>Demonstrated:</p>
<ul>
<li>Local files: you store and send instead of relying on OpenAI fetch;</li>
<li>creating user message with base64 from files, upsampling and resizing, for multiple images per message;</li>
<li>calling with streaming in “raw” mode;</li>
<li>parsing, loading headers and displaying chunks as received.</li>
</ul>
<p>This linear script serves as a basic example. Going beyond the scope of “example” would be considerations of methods like adaptive resizing based on content type, incorporating an additional parameter to accept memory images or URLs alongside files, and including a chat history with variable image expiration, among other things.</p>
<p>Documented by code:<br>
undocumented base64-only endpoint API method</p>
<pre><code class="lang-auto">
## supporting functions
import base64, textwrap, time, openai, os, io
from PIL import Image # Pillow image library
def resize_image(image, max_dimension):
width, height = image.size
# Check if the image has a palette and convert it to true color mode
if image.mode == "P":
if "transparency" in image.info:
image = image.convert("RGBA")
else:
image = image.convert("RGB")
if width > max_dimension or height > max_dimension:
if width > height:
new_width = max_dimension
new_height = int(height * (max_dimension / width))
else:
new_height = max_dimension
new_width = int(width * (max_dimension / height))
image = image.resize((new_width, new_height), Image.LANCZOS)
timestamp = time.time()
return image
def convert_to_png(image):
with io.BytesIO() as output:
image.save(output, format="PNG")
return output.getvalue()
def process_image(path, max_size):
with Image.open(path) as image:
width, height = image.size
mimetype = image.get_format_mimetype()
if mimetype == "image/png" and width <= max_size and height <= max_size:
with open(path, "rb") as f:
encoded_image = base64.b64encode(f.read()).decode('utf-8')
return (encoded_image, max(width, height)) # returns a tuple consistently
else:
resized_image = resize_image(image, max_size)
png_image = convert_to_png(resized_image)
return (base64.b64encode(png_image).decode('utf-8'),
max(width, height) # same tuple metadata
)
def create_image_content(image, maxdim, detail_threshold):
detail = "low" if maxdim < detail_threshold else "high"
return {
"type": "image_url",
"image_url": {"url": f"data:image/jpeg;base64,{image}", "detail": detail}
}
def set_system_message(sysmsg):
return [{
"role": "system",
"content": sysmsg
}]
</code></pre>
<pre><code class="lang-auto">## user message with images function
def set_user_message(user_msg_str,
file_path_list=[], # A list of file paths to images.
max_size_px=1024, # Shrink images for lower expense
file_names_list=None, # You can set original upload names to show AI
tiled=False, # True is the API Reference method
detail_threshold=700): # any images below this get 512px "low" mode
if not isinstance(file_path_list, list): # create empty list for weird input
file_path_list = []
if not file_path_list: # no files, no tiles
tiled = False
if file_names_list and len(file_names_list) == len(file_path_list):
file_names = file_names_list
else:
file_names = [os.path.basename(path) for path in file_path_list]
base64_images = [process_image(path, max_size_px) for path in file_path_list]
uploaded_images_text = ""
if file_names:
uploaded_images_text = "\n\n---\n\nUploaded images:\n" + '\n'.join(file_names)
if tiled:
content = [{"type": "text", "text": user_msg_str + uploaded_images_text}]
content += [create_image_content(image, maxdim, detail_threshold)
for image, maxdim in base64_images]
return [{"role": "user", "content": content}]
else:
return [{
"role": "user",
"content": ([user_msg_str + uploaded_images_text]
+ [{"image": image} for image, _ in base64_images])
}]
</code></pre>
<pre data-code-wrap="python"><code class="lang-python"># -- START -- set up run variables
system_msg = """
You are VisionPal, an AI assistant powered by GPT-4 with computer vision.
AI knowledge cutoff: April 2023
Built-in vision capabilities:
- extract text from image
- describe images
- analyze image contents
- logical problem-solving requiring machine vision
""".strip()
# The user message
user_msg = """
How many images were received?
Describe the contents.
Describe the quality.
Repeat back the file names sent.
""".strip()
# user images file list, and max dimension limit
max_size = 1024 # downsizes if any dimension above this
image_paths = ["./img1.png", "./img2.png"] # empty for no images
true_files = ["real file name 1.png", "real file name 2.jpg"]
true_files = None # you can give real names if using temp upload locations
</code></pre>
<pre data-code-wrap="python"><code class="lang-python"># Assemble the request parameters (all are dictionaries)
system = set_system_message(system_msg)
chat_hist = [] # list of more user/assistant items
user = set_user_message(user_msg, image_paths, max_size, file_names_list=true_files)
params = { # dictionary format for ** unpacking
"model": "gpt-4-vision-preview", "temperature": 0.5, "user": "my_customer",
"max_tokens": 500, "top_p": 0.5, "stream": True,
"messages": system + chat_hist + user,
}
start = time.perf_counter()
try:
client = openai.Client(timeout=111)
response = client.chat.completions.with_raw_response.create(**params)
headers_dict = response.headers.items().mapping.copy()
for key, value in headers_dict.items(): # set a variable for each header
locals()[f'headers_{key.replace("-", "_")}'] = value
except Exception as e:
print(f"Error during API call: {e}")
response = None
if response is not None:
try:
reply = ""
print(f"---\nSENT:\n{user[0]['content'][0]}\n---")
for chunk_no, chunk in enumerate(response.parse()):
if chunk.choices[0].delta.content:
reply += chunk.choices[0].delta.content
print(chunk.choices[0].delta.content, end="")
except Exception as e:
print(f"Error during receive/parsing: {e}")
print(f"\n[elapsed: {time.perf_counter()-start:.2f} seconds]")
</code></pre>
<p>(Writing comments, docstrings, hinting, typing, education, etc. is where it becomes consulting work…)</p> | 4 | 0 | b368833582 | 5 | [
516711,
492935,
590686,
484833,
586768
] | null | In response to this post, I spent a good amount of time coming up with the uber-example of using the gpt-4-vision model to send local files.
Stuff that doesn’t work in vision, so stripped:
* functions
* tools
* logprobs
* logit\_bias
Demonstrated:
* Local files: you store and send instead of relying on OpenAI fetch;
* creating user message with base64 from files, upsampling and resizing, for multiple images per message;
* calling with streaming in “raw” mode;
* parsing, loading headers and displaying chunks as received.
This linear script serves as a basic example. Going beyond the scope of “example” would be considerations of methods like adaptive resizing based on content type, incorporating an additional parameter to accept memory images or URLs alongside files, and including a chat history with variable image expiration, among other things.
Documented by code:
undocumented base64-only endpoint API method
```
## supporting functions
import base64, textwrap, time, openai, os, io
from PIL import Image # Pillow image library
def resize_image(image, max_dimension):
width, height = image.size
# Check if the image has a palette and convert it to true color mode
if image.mode == "P":
if "transparency" in image.info:
image = image.convert("RGBA")
else:
image = image.convert("RGB")
if width > max_dimension or height > max_dimension:
if width > height:
new_width = max_dimension
new_height = int(height * (max_dimension / width))
else:
new_height = max_dimension
new_width = int(width * (max_dimension / height))
image = image.resize((new_width, new_height), Image.LANCZOS)
timestamp = time.time()
return image
def convert_to_png(image):
with io.BytesIO() as output:
image.save(output, format="PNG")
return output.getvalue()
def process_image(path, max_size):
with Image.open(path) as image:
width, height = image.size
mimetype = image.get_format_mimetype()
if mimetype == "image/png" and width <= max_size and height <= max_size:
with open(path, "rb") as f:
encoded_image = base64.b64encode(f.read()).decode('utf-8')
return (encoded_image, max(width, height)) # returns a tuple consistently
else:
resized_image = resize_image(image, max_size)
png_image = convert_to_png(resized_image)
return (base64.b64encode(png_image).decode('utf-8'),
max(width, height) # same tuple metadata
)
def create_image_content(image, maxdim, detail_threshold):
detail = "low" if maxdim < detail_threshold else "high"
return {
"type": "image_url",
"image_url": {"url": f"data:image/jpeg;base64,{image}", "detail": detail}
}
def set_system_message(sysmsg):
return [{
"role": "system",
"content": sysmsg
}]
```
```
## user message with images function
def set_user_message(user_msg_str,
file_path_list=[], # A list of file paths to images.
max_size_px=1024, # Shrink images for lower expense
file_names_list=None, # You can set original upload names to show AI
tiled=False, # True is the API Reference method
detail_threshold=700): # any images below this get 512px "low" mode
if not isinstance(file_path_list, list): # create empty list for weird input
file_path_list = []
if not file_path_list: # no files, no tiles
tiled = False
if file_names_list and len(file_names_list) == len(file_path_list):
file_names = file_names_list
else:
file_names = [os.path.basename(path) for path in file_path_list]
base64_images = [process_image(path, max_size_px) for path in file_path_list]
uploaded_images_text = ""
if file_names:
uploaded_images_text = "\n\n---\n\nUploaded images:\n" + '\n'.join(file_names)
if tiled:
content = [{"type": "text", "text": user_msg_str + uploaded_images_text}]
content += [create_image_content(image, maxdim, detail_threshold)
for image, maxdim in base64_images]
return [{"role": "user", "content": content}]
else:
return [{
"role": "user",
"content": ([user_msg_str + uploaded_images_text]
+ [{"image": image} for image, _ in base64_images])
}]
```
```
# -- START -- set up run variables
system_msg = """
You are VisionPal, an AI assistant powered by GPT-4 with computer vision.
AI knowledge cutoff: April 2023
Built-in vision capabilities:
- extract text from image
- describe images
- analyze image contents
- logical problem-solving requiring machine vision
""".strip()
# The user message
user_msg = """
How many images were received?
Describe the contents.
Describe the quality.
Repeat back the file names sent.
""".strip()
# user images file list, and max dimension limit
max_size = 1024 # downsizes if any dimension above this
image_paths = ["./img1.png", "./img2.png"] # empty for no images
true_files = ["real file name 1.png", "real file name 2.jpg"]
true_files = None # you can give real names if using temp upload locations
```
```
# Assemble the request parameters (all are dictionaries)
system = set_system_message(system_msg)
chat_hist = [] # list of more user/assistant items
user = set_user_message(user_msg, image_paths, max_size, file_names_list=true_files)
params = { # dictionary format for ** unpacking
"model": "gpt-4-vision-preview", "temperature": 0.5, "user": "my_customer",
"max_tokens": 500, "top_p": 0.5, "stream": True,
"messages": system + chat_hist + user,
}
start = time.perf_counter()
try:
client = openai.Client(timeout=111)
response = client.chat.completions.with_raw_response.create(**params)
headers_dict = response.headers.items().mapping.copy()
for key, value in headers_dict.items(): # set a variable for each header
locals()[f'headers_{key.replace("-", "_")}'] = value
except Exception as e:
print(f"Error during API call: {e}")
response = None
if response is not None:
try:
reply = ""
print(f"---\nSENT:\n{user[0]['content'][0]}\n---")
for chunk_no, chunk in enumerate(response.parse()):
if chunk.choices[0].delta.content:
reply += chunk.choices[0].delta.content
print(chunk.choices[0].delta.content, end="")
except Exception as e:
print(f"Error during receive/parsing: {e}")
print(f"\n[elapsed: {time.perf_counter()-start:.2f} seconds]")
```
(Writing comments, docstrings, hinting, typing, education, etc. is where it becomes consulting work…)
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654,546 | [
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] | Spring AI : Error while extracting response for type [org.springframework.ai.openai.api.OpenAiApi$ChatCompletion] and content type [application/json;charset=utf-8] | "2024-02-26T04:44:37.760000Z" | 30 | 59 | 0 | 1 | 1 | 4 | 893,478 | 2024-02-26T04:44:37.836Z | <p>(topic deleted by author)</p> | 10 | 0 | bd4a6dd694 | 1 | [
633587,
152393,
137681,
315957,
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] | api | null | null | null | https://community.openai.com/t/654546 | https://community.openai.com/p/893478 | Moderation | Emoji (8) |
656,254 | [
"assistants-api"
] | Anyone experiences no message response using assistants API? | "2024-02-27T03:08:24.709000Z" | 30 | 53 | 0 | 0 | 1 | 119 | 895,712 | 2024-02-27T03:08:24.781Z | <p>Hi, I just encountered very strange behavior with assistants API.</p>
<p>I am using assistants API to upload a file and ask question about the file, at most time I can get two run steps whose types are <code>tool_calls(retrieval)</code> and <code>message_creation</code> respectively.</p>
<p>However from yesterday I found that sometimes, the <code>message_creation</code> run step can be missing and result in the run stopped at <code>tool_call(retrieval)</code> . No message is added to the thread.</p>
<p>In this case, I have to add another user message like “what’s your response?” to force <code>message_creation</code> to be executed.</p>
<p>I am wondering if this is a bug that supposed to be fixed in the future? And if there is a way to avoid this behavior?</p> | 14 | 0 | 8d14716ca5 | 1 | [
533491,
655009,
599927,
558350,
493714
] | null | Hi, I just encountered very strange behavior with assistants API.
I am using assistants API to upload a file and ask question about the file, at most time I can get two run steps whose types are `tool_calls(retrieval)` and `message_creation` respectively.
However from yesterday I found that sometimes, the `message_creation` run step can be missing and result in the run stopped at `tool_call(retrieval)` . No message is added to the thread.
In this case, I have to add another user message like “what’s your response?” to force `message_creation` to be executed.
I am wondering if this is a bug that supposed to be fixed in the future? And if there is a way to avoid this behavior?
| api/bugs | negative | 0.598794 | [
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] | assistants-api | null | null | null | https://community.openai.com/t/656254 | https://community.openai.com/p/895712 | Assistant Tools | Embeddings (6) |
654,892 | [
"chatgpt",
"gpt-4",
"api",
"assistants"
] | Assistant with text-to-SQL Performance | "2024-02-26T09:14:59.486000Z" | 7 | 316 | 10 | 13 | 5 | 3,634 | 893,894 | 2024-02-26T09:14:59.555Z | <p>Hey Folks, I want to work on a project as a database assistant, the main idea behind this project is that the user will ask human language questions and this assistant will translate the question into an SQL query to execute in the database and get the result from the database, I implemented the first application but the accuracy of the assistant is very low, sometimes answers correct but most of the cases are not.<br>
am asking if the assistant is a good fit solution to my problem. and if yes how i can improve it to get a better result? if not what are the solutions that you propose?</p> | 64 | 0 | aea2b2b31c | 1 | [
656658,
475862,
643457,
622266,
568182
] | null | Hey Folks, I want to work on a project as a database assistant, the main idea behind this project is that the user will ask human language questions and this assistant will translate the question into an SQL query to execute in the database and get the result from the database, I implemented the first application but the accuracy of the assistant is very low, sometimes answers correct but most of the cases are not.
am asking if the assistant is a good fit solution to my problem. and if yes how i can improve it to get a better result? if not what are the solutions that you propose?
| api | neutral | 0.741212 | [
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] | chatgpt | gpt-4 | api | assistants | https://community.openai.com/t/654892 | https://community.openai.com/p/893894 | SQL Database | Embeddings (6) |
654,892 | [
"chatgpt",
"gpt-4",
"api",
"assistants"
] | Assistant with text-to-SQL Performance | "2024-02-26T09:14:59.486000Z" | 7 | 316 | 10 | 13 | 5 | 3,634 | 893,906 | 2024-02-26T09:21:06.371Z | <p>Hi <a class="mention" href="/u/rigor08">@rigor08</a> - I’ve created an Assistant that in part relies on SQL queries to an external database and it’s worked fairly well in my case.</p>
<p>When you say “the accuracy of the assistant is very low”, at what point in the process do you observe the issue, e.g. does the assistant not properly identify the query parameters or does it not properly interpret the information that is returned from the SQL query?</p> | 61 | 1 | 5b48a0acbf | 2 | [
656658,
475862,
643457,
622266,
568182
] | null | Hi [@rigor08](/u/rigor08) - I’ve created an Assistant that in part relies on SQL queries to an external database and it’s worked fairly well in my case.
When you say “the accuracy of the assistant is very low”, at what point in the process do you observe the issue, e.g. does the assistant not properly identify the query parameters or does it not properly interpret the information that is returned from the SQL query?
| api | positive | 0.643162 | [
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] | chatgpt | gpt-4 | api | assistants | https://community.openai.com/t/654892 | https://community.openai.com/p/893906 | SQL Database | Embeddings (6) |
654,892 | [
"chatgpt",
"gpt-4",
"api",
"assistants"
] | Assistant with text-to-SQL Performance | "2024-02-26T09:14:59.486000Z" | 7 | 316 | 10 | 13 | 5 | 3,634 | 893,918 | 2024-02-26T09:27:18.986Z | <p>Hi <a class="mention" href="/u/jr.2509">@jr.2509</a> - the accuracy that am talking about is when I got the SQL query from the assistant if it’s not correct it didn’t execute in the database so then I can’t answer the question.<br>
my implementation of the solution is like that client → assistant → SQL → execute on database → result.<br>
most of the time the SQL generated is not executable in the database.</p> | 59 | 1 | aea2b2b31c | 3 | [
656658,
475862,
643457,
622266,
568182
] | null | Hi [@jr.2509](/u/jr.2509) - the accuracy that am talking about is when I got the SQL query from the assistant if it’s not correct it didn’t execute in the database so then I can’t answer the question.
my implementation of the solution is like that client → assistant → SQL → execute on database → result.
most of the time the SQL generated is not executable in the database.
| api | neutral | 0.563069 | [
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] | chatgpt | gpt-4 | api | assistants | https://community.openai.com/t/654892 | https://community.openai.com/p/893918 | SQL Database | Embeddings (6) |
654,892 | [
"chatgpt",
"gpt-4",
"api",
"assistants"
] | Assistant with text-to-SQL Performance | "2024-02-26T09:14:59.486000Z" | 7 | 316 | 10 | 13 | 5 | 3,634 | 893,927 | 2024-02-26T09:37:00.374Z | <p>Right. Much depends on how well you define the function including the specific parameters. The more specific you can be in your description including in relation to the acceptable values, the higher your chances of the Assistant getting it right. Additionally, you need to ensure that your Assistant instructions are sufficiently specific and consistent with the information in your function description. I have found in practice that it helped to include a description of the SQL DB structure (i.e. the different columns and types of data/values in each column) in the instructions as well as to be specific about how the Assistant is expected to identify the inputs/variables required for the SQL query.</p>
<p>Is it necessary for you to have an exact match with values in the DB?</p> | 53 | 2 | 5b48a0acbf | 4 | [
656658,
475862,
643457,
622266,
568182
] | null | Right. Much depends on how well you define the function including the specific parameters. The more specific you can be in your description including in relation to the acceptable values, the higher your chances of the Assistant getting it right. Additionally, you need to ensure that your Assistant instructions are sufficiently specific and consistent with the information in your function description. I have found in practice that it helped to include a description of the SQL DB structure (i.e. the different columns and types of data/values in each column) in the instructions as well as to be specific about how the Assistant is expected to identify the inputs/variables required for the SQL query.
Is it necessary for you to have an exact match with values in the DB?
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] | chatgpt | gpt-4 | api | assistants | https://community.openai.com/t/654892 | https://community.openai.com/p/893927 | SQL Database | Embeddings (6) |
654,892 | [
"chatgpt",
"gpt-4",
"api",
"assistants"
] | Assistant with text-to-SQL Performance | "2024-02-26T09:14:59.486000Z" | 7 | 316 | 10 | 13 | 5 | 3,634 | 893,955 | 2024-02-26T09:52:07.923Z | <p>Yes, I’m working with a tech stack that is based on a pre-generated database that contains (users, accounts, purchases,…)<br>
so to get the answer from the database I have to know the exact SQL query that gets this data from the database.</p>
<p>do you think that optimizing the instruction for the assistant will increase the accuracy of the assistant’s response?<br>
can you provide me with some ressources on how to optimize the instruction of the assistant? thanks in advance .</p> | 45 | 1 | aea2b2b31c | 5 | [
656658,
475862,
643457,
622266,
568182
] | null | Yes, I’m working with a tech stack that is based on a pre-generated database that contains (users, accounts, purchases,…)
so to get the answer from the database I have to know the exact SQL query that gets this data from the database.
do you think that optimizing the instruction for the assistant will increase the accuracy of the assistant’s response?
can you provide me with some ressources on how to optimize the instruction of the assistant? thanks in advance .
| api | neutral | 0.85158 | [
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] | chatgpt | gpt-4 | api | assistants | https://community.openai.com/t/654892 | https://community.openai.com/p/893955 | SQL Database | Embeddings (6) |